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On the Subspace of Image Gradient Orientations [article]

Georgios Tzimiropoulos, Stefanos Zafeiriou
<span title="2010-05-16">2010</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We demonstrate some of its favorable properties on robust subspace estimation.  ...  We show that replacing intensities with gradient orientations and the ℓ_2 norm with a cosine-based distance measure offers, to some extend, a remedy to this problem.  ...  Gaussian; for data corrupted by outliers, the estimated subspace can be arbitrarily biased.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1005.2715v1">arXiv:1005.2715v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hvpxwimilfcg3fac47il5qzbqa">fatcat:hvpxwimilfcg3fac47il5qzbqa</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-1005.2715/1005.2715.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a9/2f/a92f8ce2a689d8254b14e2a5256403940a55d987.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1005.2715v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Principal component analysis of image gradient orientations for face recognition

Georgios Tzimiropoulos, Stefanos Zafeiriou, Maja Pantic
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpdlnoy5crhxtiv7j3acen4kje" style="color: black;">Face and Gesture 2011</a> </i> &nbsp;
We show that replacing intensities with gradient orientations and the ℓ2 norm with a cosine-based distance measure offers, to some extend, a remedy to this problem.  ...  We demonstrate some of its favorable properties for the application of face recognition.  ...  In contrary, a simple visual inspection of Fig. 7 reveals that, in the second experiment, the principal subspace of gradient orientations (Fig. 7 (f)-(j) ) is artifact-free which in turn makes dis-occlusion  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fg.2011.5771457">doi:10.1109/fg.2011.5771457</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fgr/TzimiropoulosZP11.html">dblp:conf/fgr/TzimiropoulosZP11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nyvqmrt7uvexllpho57hfmomfq">fatcat:nyvqmrt7uvexllpho57hfmomfq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921201600/http://eprints.nottingham.ac.uk/31408/1/tzimiroFG11A.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/ef/adef0e18a44f46718c36eaaf49943997930bb660.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fg.2011.5771457"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Local Subspace-Based Outlier Detection using Global Neighbourhoods [article]

Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
<span title="2016-11-01">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
State-of-the-art density-based algorithms perform well because they 1) take the local neighbourhoods of data points into account and 2) consider feature subspaces.  ...  Moreover, experiments on real-world data show that our approach identifies relevant outliers overlooked by existing methods, confirming that one should keep an eye on the global perspective even when doing  ...  For the analysis of subspaces it uses clustering methods and subspace similarity measurements.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1611.00183v1">arXiv:1611.00183v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tmsg74rc25hr3dhda5wsik6dii">fatcat:tmsg74rc25hr3dhda5wsik6dii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825064549/https://arxiv.org/pdf/1611.00183v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/9b/1e9be8c2dedc772df42cff0e89403d7b0ee5cc81.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1611.00183v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deriving quantitative models for correlation clusters

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
<span title="">2006</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;06</a> </i> &nbsp;
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a common arbitrarily oriented  ...  Our broad experimental evaluation demonstrates the beneficial impact of our method on several applications of significant practical importance.  ...  The correlation clusters are allowed to exist in arbitrarily oriented subspaces represented by a set of Eigenvectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1150402.1150408">doi:10.1145/1150402.1150408</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/AchtertBKKZ06.html">dblp:conf/kdd/AchtertBKKZ06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rg7mm3ssk5ex3dinq5pbpu4etq">fatcat:rg7mm3ssk5ex3dinq5pbpu4etq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808133333/http://www.dbs.ifi.lmu.de/~kroegerp/papers/KDD06-Derivator.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/f1/93f1d4e03cc868868cff72f5ee8494ead44e8a97.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1150402.1150408"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Artificial bee colony (ABC) algorithm and fuzzy based discriminative binary descriptor for partial duplicate medical image search in health care applications

Roselin Mary Clare K, Hemalatha M
<span title="">2018</span> <i title="OMICS Publishing Group"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yi5mbg7lajh33hb3tjsqmzicna" style="color: black;">Biomedical Research</a> </i> &nbsp;
The results are measured using Mean Average Precision (MAP) with respect to r, D and w parameters. FSK-SC-ESIFT produces higher MAP of 70% for r value of 3.5.  ...  It contains five major steps such as deblurring, discovery of steady corner points, map extraction, detection of most discriminative bin and subspace clustering.  ...  Acknowledgement The authors are grateful to SNS Rajalakshmi College of Arts and Science, for providing support and coordination to carry out this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4066/biomedicalresearch.29-17-3426">doi:10.4066/biomedicalresearch.29-17-3426</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2kum4y634zgqfadr32lfi24elu">fatcat:2kum4y634zgqfadr32lfi24elu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428153446/http://www.alliedacademies.org/articles/artificial-bee-colony-abc-algorithm-and-fuzzy-based-discriminative-binary-descriptor-for-partial-duplicate-medical-image-search-in.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/08/d208001489495e92ce3799c846b9d64ec3226ddd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4066/biomedicalresearch.29-17-3426"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A hierarchical projection pursuit clustering algorithm

A.D. Miasnikov, J.E. Rome, R.M. Haralick
<span title="">2004</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jsl2pgelqja2piczru3a6nqkg4" style="color: black;">Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</a> </i> &nbsp;
We present several methods for cluster validation that are used to evaluate the algorithm. Experiments with various real and synthetic datasets show the effectiveness of the approach.  ...  and in which clusters may take on arbitrary shapes.  ...  Apriori Perspective ORCLUS is a method of finding clusters in arbitrarily oriented subspaces, unique to each cluster.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2004.1334104">doi:10.1109/icpr.2004.1334104</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/MiasnikovRH04.html">dblp:conf/icpr/MiasnikovRH04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7optipsf6bghhbhiraisot4ppy">fatcat:7optipsf6bghhbhiraisot4ppy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100615132803/http://tr.cs.gc.cuny.edu/tr/files/TR-2003009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/82/7882ffbfbd8632f5649a1ba83e4e3eb76cfe85a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2004.1334104"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Iterative Residual Rescaling: An Analysis and Generalization of LSI [article]

Rie Kubota Ando, Lillian Lee
<span title="2001-06-17">2001</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A further benefit of our framework is that it provides a well-motivated, effective method for automatically determining the rescaling factor IRR depends on, leading to further improvements.  ...  We first present a novel subspace-based framework for formalizing this task.  ...  Any opinions, findings, and conclusions or recommendations expressed above are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/0106039v1">arXiv:cs/0106039v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ikldqvjgmrbalaw7jfgoowrnzi">fatcat:ikldqvjgmrbalaw7jfgoowrnzi</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-cs0106039/cs0106039.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/eb/d9ebed059fad4293a77c4367f0871603b85d4735.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/0106039v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Outlier Detection in Arbitrarily Oriented Subspaces

Hans-Peter Kriegel, Peer Kroger, Erich Schubert, Arthur Zimek
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2012 IEEE 12th International Conference on Data Mining</a> </i> &nbsp;
Our model enables to search for outliers in arbitrarily oriented subspaces of the original feature space.  ...  Our experiments suggest that our novel method can find different outliers than existing work and can be seen as a complement of those approaches.  ...  CONCLUSIONS We proposed a local model that takes correlations among varying subsets of attributes into account in order to find outliers in arbitrarily oriented subspaces.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2012.21">doi:10.1109/icdm.2012.21</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/KriegelKSZ12.html">dblp:conf/icdm/KriegelKSZ12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3qanbuufujclneckcs6oad5qf4">fatcat:3qanbuufujclneckcs6oad5qf4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809225153/http://www.dbs.ifi.lmu.de/~zimek/publications/ICDM2012/COP.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/53/9453e1d412adcd97e340d9b45634e438ce6efed1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2012.21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Clustering of spatial gene expression patterns in the mouse brain and comparison with classical neuroanatomy

Jason W. Bohland, Hemant Bokil, Sayan D. Pathak, Chang-Kyu Lee, Lydia Ng, Christopher Lau, Chihchau Kuan, Michael Hawrylycz, Partha P. Mitra
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3jmevtg2ajcdnpgyntimblv7iu" style="color: black;">Methods</a> </i> &nbsp;
We illustrate the resulting parcellations of the mouse brain for different numbers of clusters (K) and quantitatively compare these parcellations with a classically-defined anatomical reference atlas at  ...  Following dimensionality and noise reduction, voxels were clustered according to similarity of expression across the gene set.  ...  Acknowledgments This work was supported by the W.M. Keck Foundation (PI: P.P. Mitra) and the Crick-Clay professorship. The authors thank the Al-  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ymeth.2009.09.001">doi:10.1016/j.ymeth.2009.09.001</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19733241">pmid:19733241</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dvpsspr4lbfepda7xbbgsaylee">fatcat:dvpsspr4lbfepda7xbbgsaylee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809053407/http://www.cs.odu.edu/~sji/classes/cs895-2012s/papers/Clustering-method.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c6/da/c6da30ad0444c0bfcdc0eb3535d01c7bf45fcb14.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ymeth.2009.09.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data [article]

Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie
<span title="2018-11-07">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The proposed algorithm is evaluated against traditional bottom-up clustering algorithms and state-of-the-art subspace clustering algorithms.  ...  The experimental results show that the proposed algorithm produces clusters with high accuracy, and scales well to large volumes of data.  ...  The main point that differentiates coclustering from subspace clustering lies in the approach to the problem, and the homogeneous methodology to find clusters in both axis-parallel and arbitrarily oriented  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.02722v1">arXiv:1811.02722v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uu7nwn4k3jes7nb7xahe4ybimy">fatcat:uu7nwn4k3jes7nb7xahe4ybimy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826220840/https://arxiv.org/pdf/1811.02722v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/3c/bc3c001791090f28a3c80521d2e7028011aa6992.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.02722v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Geology differentiation by applying unsupervised machine learning to multiple independent geophysical inversions

Aline Melo, Yaoguo Li
<span title="2021-08-09">2021</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m44dlrcxv5g5vltcbroqffdoqq" style="color: black;">Geophysical Journal International</a> </i> &nbsp;
For this reason, we investigate the performance of five different clustering methods on the identification of the geologic units using inverted susceptibility, density, and conductivity models that image  ...  Effective quantitative methods for integrating multiple inverted physical property models are necessary to increase the value of information and advance interpretation further to produce interpretable  ...  clusters in arbitrarily oriented subspaces Main idea Objects are more related to nearby objects than to objects farther away Defines clusters as connected regions of high density of objects Clusters are  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/gji/ggab316">doi:10.1093/gji/ggab316</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tcoahb6x5rehxkdsfk2zdacavu">fatcat:tcoahb6x5rehxkdsfk2zdacavu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211001141551/https://watermark.silverchair.com/ggab316.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAsMwggK_BgkqhkiG9w0BBwagggKwMIICrAIBADCCAqUGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMruSzjmDG1a4aBm4aAgEQgIICducp9ATsudwsaZc8SEosyan59-QLa3D0kVM4YPGgDaGWxk5sSSf15JGWd5imMB1_P27Fd8l7ftQPJxkTokXloNPWq57yVGii31PLqY3vMXPyfREVoQ9ss8mRZ8pMZfOw_69Qfso09dXc98LQyLzMN-mJLPrQykxJbw8wuiXAgMqY8DzksZ0U9EFoMvYCHY1jsX62eWpRzdFkO8_clSqIBnLJ0SBtNd_kPWyr-IqPO6iDv6TssKtPxhIYnETsQi_1cxO2Y2XmW_rHuEiYexKnhrWo9gH04HGDp_nq5TZhbzyLFOodNtVVH7gmzqa4C7IPT_MG8N5JhqVdi5zogtXQXEekYJn5Nj-o59VkYiScBP8WDS0okB48CjFUoXw7_ZWHeZEg29nFexmDOyZ2fZaRY9TE8CP-fD_3J5LPZk6LqXr5bvBKRvnFUFtH0mwYLBZRiwFl4cbDY9G6iiuZRSGM_2X8QeuWz-ctPeniqjNOkaPeRPq2YTmn73yYcapwQf6Q_qRLOeJNjkqLXF4VwhPQrEy1Y-wupuVk0rmjpHS6A6Co0qUZJv7ZsWDZidEBasgKCA9e99ooi2NaEGeS1Q0WjXIativRjKPE_b5kE9h9n6mCAa-ymuQgXex8dyJ_d478VctxsQ8Df_mAHDDIoo6V4aHcVohXVjEebLjavyqgX5Ov25taggdp6BUs1zEW6D8UcV2TKQ13_1xZcaRAutadshmgxIchtthkObNjCWkl9W73_0AVjVfyXirB1c6q60I0JwtXNm4lrR8lyCTYzRvWNjbDqnL0DRLlBHV-dIaMPUDogH6EBaDKiEVdwIkYXSwM5plpRgMSyw" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3e/14/3e14f6ce963414a19290024860823b46c63ce548.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/gji/ggab316"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives

Arthur Zimek, Jilles Vreeken
<span title="2013-03-07">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
We give brief introductions to the fundamental problems of different sub-fields of clustering, especially focusing on subspace clustering, ensemble clustering, alternative (as a variant of constraint)  ...  problems (and, partly, of similar solutions or of solutions that could be transferred) in the literature on the other research topic.  ...  The elephant was satisfied with a handful of peanuts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-013-5334-y">doi:10.1007/s10994-013-5334-y</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lmqlklqeevcmtmuq4urn74is6u">fatcat:lmqlklqeevcmtmuq4urn74is6u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503115452/https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5334-y.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/87/fb87f3fe642bd26a487dc68c3b601b4af89e2d04.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-013-5334-y"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Multiple structure recovery via robust preference analysis

Luca Magri, Andrea Fusiello
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/z7tk7kanxjcz7hgk77ae6t3ofy" style="color: black;">Image and Vision Computing</a> </i> &nbsp;
Experimental validation on public, real data-sets demonstrates that our method compares favorably with the state of the art.  ...  This paper address the extraction of multiple models from outlier-contaminated data by exploiting preference analysis and low rank approximation.  ...  Not only visual data are typically affected by arbitrarily large measurement errors -and require the adoption of robust estimators -but the multi-modality of the data makes the problem even more demanding  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.imavis.2017.09.005">doi:10.1016/j.imavis.2017.09.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ibck4muv2jagvbicz6njlsy76i">fatcat:ibck4muv2jagvbicz6njlsy76i</a> </span>
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Density-based Projected Clustering over High Dimensional Data Streams [chapter]

Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel
<span title="2012-04-26">2012</span> <i title="Society for Industrial and Applied Mathematics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/viwc2ys5x5a47ogpdlftfzj5fm" style="color: black;">Proceedings of the 2012 SIAM International Conference on Data Mining</a> </i> &nbsp;
There exist methods for clustering over full dimensional streams and methods for nding clusters in subspaces of high dimensional static data.  ...  Our experimental results illustrate the eectiveness and the eciency of HDDStream and also demonstrate that it could serve as a trigger for detecting drastic changes in the underlying stream population,  ...  The recent approaches can be classied [17] into methods that search for clusters in arbitrarily oriented subspaces grasping the idea of local feature correlation (thus also called correlation clustering  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1137/1.9781611972825.85">doi:10.1137/1.9781611972825.85</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sdm/NtoutsiZPKK12.html">dblp:conf/sdm/NtoutsiZPKK12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3tvykbkkrzbtdjabpiichrlk3e">fatcat:3tvykbkkrzbtdjabpiichrlk3e</a> </span>
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The LOST Algorithm: Finding Lines and Separating Speech Mixtures

Paul D. O'Grady, Barak A. Pearlmutter
<span title="2008-07-14">2008</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
Robust clustering of data into linear subspaces is a frequently encountered problem. Here, we treat clustering of one-dimensional subspaces that cross the origin.  ...  We perform an extensive investigation on the general separation performance of the LOST algorithm using randomly generated mixtures, and empirically estimate the performance of the algorithm in the presence  ...  The sparseness of a distribution can be measured by a variety of methods, such as those based on hyperbolic tangent functions [2] and the Gini index [3, 4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2008/784296">doi:10.1155/2008/784296</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s76j7sgzzfc5joib4kg7c36hcq">fatcat:s76j7sgzzfc5joib4kg7c36hcq</a> </span>
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