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PSO based Multidimensional Data Clustering: A Survey

Jayshree Ghorpade, Vishakha Arun Metre
2014 International Journal of Computer Applications  
Data clustering is considered as one of the most promising data analysis methods in data mining and on the other side K-Means is the well known partitional clustering technique.  ...  They have used PSO and K-Means algorithm in sequence for data clustering.  ...  Data clustering is an interesting issue in data mining and number of PSO based techniques are proposed in the state-of-the-art.  ... 
doi:10.5120/15296-4040 fatcat:2p6c57awv5fp3ome2hy6yocut4

An OD Flow Clustering Method Based on Vector Constraints: A Case Study for Beijing Taxi Origin-Destination Data

Xiaogang Guo, Zhijie Xu, Jianqin Zhang, Jian Lu, Hao Zhang
2020 ISPRS International Journal of Geo-Information  
mode, divergence mode, and convergence mode) with representative travel trends are found.  ...  of high-dimensional similarity of OD flow and helps mining representative OD flow clusters in flow space.  ...  It can expand multidimensional data analysis by step clustering.  ... 
doi:10.3390/ijgi9020128 fatcat:jhoo32ndxzewtnfo6dc3lt54om

Image Information Mining System Evaluation Using Information-Theoretic Measures

Herbert Daschiel, Mihai Datcu
2005 EURASIP Journal on Advances in Signal Processing  
for successful content-based image retrieval and image information mining.  ...  Image data information systems require both database and visual capabilities, but there is a gap between these systems.  ...  Convergence of learning process How efficient is the mining system learning convergence?  ... 
doi:10.1155/asp.2005.2153 fatcat:lrtuvxsh2zgddi3nzpyy3wnzdy

Multidimensional Scaling by Deterministic Annealing with Iterative Majorization Algorithm

Seung-Hee Bae, Judy Qiu, Geoffrey C. Fox
2010 2010 IEEE Sixth International Conference on e-Science  
Multidimensional scaling (MDS) is a general term for the techniques of configuration of high dimensional data into target dimensional space in terms of pairwise proximity information, while distance between  ...  It turns out that applying deterministic annealing to multidimensional scaling problem improves the mapping quality due to avoiding local optima and shows high reliability in our experimental results.  ...  INTRODUCTION The recent explosion of publicly available biology gene sequences, chemical compounds, and various scientific data offers an unprecedented opportunity for data mining.  ... 
doi:10.1109/escience.2010.45 dblp:conf/eScience/BaeQF10 fatcat:5vc5vzs4gbbmzpsnfweqe6oqyi

An Improved Strong Tracking Kalman Filter Algorithm for the Initial Alignment of the Shearer

Yuming Chen, Wei Li, Gaifang Xin, Hai Yang, Ting Xia
2019 Complexity  
filter, and multiple fading factor and forgetting factor for east and north velocity measurement are designed in the algorithm, respectively, which can effectively weaken the coupling relationship between  ...  The strap-down inertial navigation system (SINS) is a commonly used sensor for autonomous underground navigation, which can be used for shearer positioning under a coal mine.  ...  However, the complexity of working environment in coal mines has brought great difficulties for the mining of coal mine and the safety problems of coal mines have received growing considerable attention  ... 
doi:10.1155/2019/3172501 fatcat:beup663t4jhefhkmqbmrtnd5ii

A Robust and Scalable Solution for Interpolative Multidimensional Scaling with Weighting

Yang Ruan, Geoffrey Fox
2013 2013 IEEE 9th International Conference on e-Science  
Advances in modern bio-sequencing techniques have led to a proliferation of raw genomic data that enables an unprecedented opportunity for data mining.  ...  Among the known algorithms, we use Multidimensional Scaling (MDS) to reduce the dimension of original data and Pairwise Clustering, and to classify the data.  ...  Our thanks to Mina Rho and Haixu Tang from Center for Genomics and Bioinformatics for providing the DNA and RNA data, and Larissa Stanberry from Seattle Children's Research Institute for providing the  ... 
doi:10.1109/escience.2013.30 dblp:conf/eScience/RuanF13 fatcat:des7ike4sza3pnsdklec2pcrju

MultiClust special issue on discovering, summarizing and using multiple clusterings

Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer Dy
2014 Machine Learning  
In such data, one typically observes several valid groupings, i.e. each data object fits in different roles.  ...  Traditionally, clustering has focused on discovering a single grouping of the data. In many applications, however, data is collected for multiple analysis tasks.  ...  in clustering and pattern mining.  ... 
doi:10.1007/s10994-014-5445-0 fatcat:mahkn62jb5hvjecq4wh4fun7xe

Phylogenomic Resolution of the Phylogeny of Laurasiatherian Mammals: Exploring Phylogenetic Signals within Coding and Noncoding Sequences

Meng-Yun Chen, Dan Liang, Peng Zhang
2017 Genome Biology and Evolution  
Previous studies mainly relied on coding sequences (CDS) and seldom used noncoding sequences.  ...  Here, by data mining public genome data, we compiled an intron data set of 3,638 genes (all introns from a protein-coding gene are considered as a gene) (19,055,073 bp) and a CDS data set of 10,259 genes  ...  Acknowledgments We thank all members of Zhang's lab and Dr Xing-Xing Shen for helpful discussion.  ... 
doi:10.1093/gbe/evx147 pmid:28830116 pmcid:PMC5737624 fatcat:fiorpipkgna2le6fbbzqobn54m

Book review: A review of chaos, catastrophe, and human affairs: Applications of nonlinear dynamics to work, organizations, and social evolution by Stephen J. Guastello

Frederick David Abraham, Stephen J. Guastello
1998 Discrete Dynamics in Nature and Society  
point where you mention the derivation of the polynomial regression equations for the catastrophe model, please add, that the chapter also includes statistical models for capturing the Lyapunov exponent and  ...  Your coverage of traditional viewpoints in creativity, i.e., Guilford's divergent and convergent cognition are especially relevant as those are exactly the ingredients of a chaotic attractor, which metaphorically  ...  Some authors like to emphasize that there is not just one Lyapunov exponent, but a spectrum for each attractor; chaos is the result of convergent and divergent forces, so taking ranges and ratios of and  ... 
doi:10.1155/s1026022698000119 fatcat:qdmg54r3dfggnlpp7vl4xkdf6q


2015 Intelligent Data Analysis  
in terms of accuracy and convergence speed.  ...  This results in improvements in the execution time for reconstructing the tree when old or new customer sequences are added into the original database to be reduced by using pre-large sequences.  ... 
doi:10.3233/ida-150752 fatcat:tkvpscenoren3mlybamx42huki

Page 36 of Psychological Abstracts Vol. 88, Issue 1 [page]

2001 Psychological Abstracts  
—Examined the relationship between certain psychological factors (i.e. field dependence/field independence, convergence/ divergence and working memory capacity) and the effect of these factors on the performance  ...  In terms of word association test (WAT) responses, only the convergence/di- vergence dimension of cognitive styles showed a significant relationship with the WAT. 295.  ... 

Unsupervised Two-Way Clustering of Metagenomic Sequences

Shruthi Prabhakara, Raj Acharya
2012 Journal of Biomedicine and Biotechnology  
Further, we handle the high-dimensionality and sparsity associated with the data, by grouping the set of words comprising the reads, resulting in a two-way mixture model.  ...  In this paper, we formulate an unsupervised naive Bayes multispecies, multidimensional mixture model for reads from a metagenome.  ...  Acknowledgment The authors wish to thank Jia Li for her useful insights into the two-way Poisson mixture model problem and the reviewers for their valuable comments and suggestions.  ... 
doi:10.1155/2012/153647 pmid:22577288 pmcid:PMC3336163 fatcat:hv7gezxyunau5c5dmhdervzdky

Pattern recognition algorithms based on space-filling curves and orthogonal expansions

E. Skubalska-Rafajlowicz
2001 IEEE Transactions on Information Theory  
The classical problem of constructing a multidimensional pattern classifier in the Bayesian framework is considered.  ...  The learning sequence transformed into the unit interval is used to estimate the coefficients in an orthogonal expansion of the Bayes decision rule.  ...  ACKNOWLEDGMENT The author wishes to thank the referees for their many stimulating comments and suggestions, which led to some generalizations of the earlier results and improved the presentation of the  ... 
doi:10.1109/18.930927 fatcat:tdaph67r5jd5db775c6gxkbxwq

Functionally diverging molecular quasi-species evolve by crossing two enzymes

L. O. Emren, S. Kurtovic, A. Runarsdottir, A.-K. Larsson, B. Mannervik
2006 Proceedings of the National Academy of Sciences of the United States of America  
This approach to evolutionary data mining serves to identify emerging molecular quasi-species and indicates potential trajectories available for further protein evolution. directed evolution ͉ DNA shuffling  ...  We have generated enzyme variants by stochastic recombinations of DNA encoding two homologous detoxication enzymes, human glutathione transferases M1-1 and M2-2, and explored their catalytic versatilities  ...  Human GST M1-1 and GST M2-2 are homologous proteins with a recent divergence, presumably involving gene convergence or exon shuffling (9) .  ... 
doi:10.1073/pnas.0604030103 pmid:16829572 pmcid:PMC1544140 fatcat:4j65hq63tnbu5hgaq42zyutm3m

Adaptive Privacy-Preserving Visualization Using Parallel Coordinates

A. Dasgupta, R. Kosara
2011 IEEE Transactions on Visualization and Computer Graphics  
Researchers in the field of data mining have proposed different techniques over the years for privacy-preserving data publishing and subsequent mining techniques on such sanitized data.  ...  Corporate data, medical records, etc. are rich in analytical value but cannot be shared without first going through a transformation step where explicit identifiers are removed and the data is sanitized  ...  Compute degree of convergence and divergence for both axes. 4. Convergence and divergence are mirrors of each other.  ... 
doi:10.1109/tvcg.2011.163 pmid:22034343 fatcat:4cijpozjoneqhhopjswobox3oa
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