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Making clustering in delay-vector space meaningful

Jason R. Chen
2006 Knowledge and Information Systems  
in the delay vector space.  ...  The method can be shown to be the process of clustering in the Delay-Vector space formalism used in the Dynamical systems literature.  ...  Second, that the key step in making it meaningful is by measuring distances in delay space correctly.  ... 
doi:10.1007/s10115-006-0042-6 fatcat:runv2zhl5nczvie642yqed34mq

Unfolding preprocessing for meaningful time series clustering

Geoffroy Simon, John A. Lee, Michel Verleysen
2006 Neural Networks  
The experimental results show the meaningfulness of the clustering when applied on adequately unfolded time series.  ...  Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right.  ...  The authors are grateful to the reviewers for their helpful comments and in-depth reading of the manuscript.  ... 
doi:10.1016/j.neunet.2006.05.020 pmid:16815672 fatcat:jem6c3ckarbjboe6yxx4zad2sy

CubanSea: Cluster-Based Visualization of Search Results

Matthias Tilsner, Orland Hoeber, Adrian Fiech
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
A visual encoding of the cluster membership supports the searcher in understanding the relationship between the search results and the fuzzy clusters.  ...  In this paper, we present a prototype implementation of an approach to Web search based on fuzzy clustering and visualization.  ...  It stands to reason that an increasing amount of algorithm cycles is a sign of an indistinct topic space which would in any event fail to generate highly meaningful clusters.  ... 
doi:10.1109/wi-iat.2009.242 dblp:conf/iat/TilsnerHF09 fatcat:klaby5nvyzhrjbfggc7nqkymui

Game and Balance Multicast Architecture Algorithms for Sensor Grid

Qingfeng Fan, Qiongli Wu, Frèdèric Magoulés, Naixue Xiong, Athanasios Vasilakos, Yanxiang He
2009 Sensors  
Our scheme, in one cluster, seeks the central node, calculates the space and the data weight vectors. Then we try to find a new vector composed by linear combination of the two old ones.  ...  We propose a scheme to attain shorter multicast delay and higher efficiency in the data transfer of sensor grid.  ...  Table 1 . 1 The space weight vector W in one cluster, the weights marked * belong to the cluster member.  ... 
doi:10.3390/s90907177 pmid:22399992 pmcid:PMC3290501 fatcat:ocrxjvz4kngsrewiuuam7erd5i


Yuanzhen Ji, Thomas Heinze, Zbigniew Jerzak
2013 Proceedings of the 7th ACM international conference on Distributed event-based systems - DEBS '13  
This, in turn, makes it impossible to recognize early warning signals and take action before failure happens.  ...  equipment conditions in a timely fashion.  ...  Representation of the Radius Threshold The region covered by a micro-cluster in the dimensional feature space is determined by the current center of the microcluster and its radius.  ... 
doi:10.1145/2488222.2488272 dblp:conf/debs/JiHJ13 fatcat:y5unw3znwbghrpeendmljcvlmm

Page 1059 of Psychological Abstracts Vol. 51, Issue 5 [page]

1974 Psychological Abstracts  
—Proposes a theory of analogical reasoning in which the elements of a set of concepts, (e.g., animals) are represented as points in a multidimensional Euclidean space. 4 elements A,B,C,D, are in an analogical  ...  Unfilled delay as well as filled and unfilled postfeedback delay intervals facilitated learning in comparison to immediate informative feedback.  ... 

Color image segmentation using wavelet

Samer kaisJameel, Ramesh R. Manza
2012 International Journal of Applied Information Systems  
in the image, and then applies a clustering technique to partition the image into a set of "homogeneous" regions is also proposed.  ...  Using two dimensions wavelet transforms to decompose the image into subbands channels and made up the of smooth image and convert the image into NTSC color space enables us to quantify the visual differences  ...  These features make up the feature vector for each pixel so that each is represented by a point in multidimensional feature space.  ... 
doi:10.5120/ijais12-450134 fatcat:c3jyoyh4qnco7c63ggb4zjqjji

Attracting Dynamics of Frontal Cortex Ensembles during Memory-Guided Decision-Making

Emili Balaguer-Ballester, Christopher C. Lapish, Jeremy K. Seamans, Daniel Durstewitz, Karl J. Friston
2011 PLoS Computational Biology  
The approach worked by constructing high-dimensional state spaces from delays of the original single-unit firing rate variables and the interactions among them, which were then statistically analyzed using  ...  More interestingly, attracting properties of these cognitively defined ensemble states became apparent in high-dimensional expansions of the MSUA spaces due to a proper unfolding of the neural activity  ...  a radial-arm-maze decision-making task with temporal delay (Figure 2A ).  ... 
doi:10.1371/journal.pcbi.1002057 pmid:21625577 pmcid:PMC3098221 fatcat:4h53qqdqyzgj7poj64jlnqt64y

Wi-Fi Fingerprint-Based Topological Map Building for Indoor User Tracking

Hyojeong Shin, Hojung Cha
2010 2010 IEEE 16th International Conference on Embedded and Real-Time Computing Systems and Applications  
In this article, we introduce an indoor user tracking system.  ...  The system constructs a topological map with Wi-Fi signal calibrations, assigns semantically meaningful labels into the map, and estimates the semantic location of the user based on the current Wi-Fi observation  ...  This approach makes it possible to compare the distance in signal space between two vectors with different sets of signals. The result is shown in Figure 4 (b).  ... 
doi:10.1109/rtcsa.2010.23 dblp:conf/rtcsa/ShinC10 fatcat:pz4vaem23ne4xn3puocfci4s7i

Unsupervised Spatiotemporal Analysis of FMRI Data Using Graph-Based Visualizations of Self-Organizing Maps

Santosh B. Katwal, John C. Gore, Rene Marois, Baxter P. Rogers
2013 IEEE Transactions on Biomedical Engineering  
However, a postprocessing scheme is necessary to correctly interpret similarity between neighboring node prototypes (feature vectors) on the output map and delineate clusters and features of interest in  ...  We conclude that the graph-based visualizations of self-organizing maps help in advanced visualization of cluster boundaries in fMRI data enabling the separation of regions with small differences in the  ...  The SOM transforms data through an adaptive vector quantization that ensures an orderly arrangement (map) of the prototypes (feature vectors) in the output space [25] .  ... 
doi:10.1109/tbme.2013.2258344 pmid:23613020 pmcid:PMC3919688 fatcat:l5nkuvsbcrgz5dr3gnjtdp3spy

Space-time ICA versus Ensemble ICA for ictal EEG analysis with component differentiation via Lempel-Ziv complexity

Christopher J. James, Daniel Abasolo, Disha Gupta
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
We contrast two implementations of Independent Component Analysis (ICA) -Ensemble (or spatial) ICA (E-ICA) and Space-Time ICA (ST-ICA) in separating out the ictal components underlying the measurements  ...  Our results are promising showing that it is possible to extract meaningful information from just 2 recording electrodes through ST-ICA, even if they are not directly over the seizure focus.  ...  ACKNOWLEDGMENT We are very grateful to the Epilepsy Center of the University Hospital of Freiburg, Germany for their permission to use the invasive EEG recordings in this study.  ... 
doi:10.1109/iembs.2007.4353584 pmid:18003250 fatcat:q423onwmhzcirj5k7v4vzi5h3y

A Review of Subsequence Time Series Clustering

Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Ying Wah Teh
2014 The Scientific World Journal  
Clustering of subsequence time series remains an open issue in time series clustering.  ...  Moreover, various state-of-the-art approaches in performing subsequence time series clustering are discussed under each of the following categories.  ...  measure in the delay-vector space.  ... 
doi:10.1155/2014/312521 pmid:25140332 pmcid:PMC4130317 fatcat:ptmtjuq77rdhjpr4g2rhwvh4xa

AI-Driven Aeronautical Ad Hoc Networks for 6G Wireless: Challenges, Opportunities, and the Road Ahead

Tuğçe Bilen, Berk Canberk, Vishal Sharma, Muhammad Fahim, Trung Q. Duong
2022 Sensors  
Here, these conventional methodologies reduce the packet delivery success of AANET with higher transfer delay.  ...  Furthermore, we discuss the critical issue of security in AANET before providing open issues.  ...  Here, the weight vectors are the airplanes in the formed AANET cluster. Additionally, the aircraft with a broken A2A link corresponds to the input vector.  ... 
doi:10.3390/s22103731 pmid:35632140 pmcid:PMC9147260 fatcat:3ydtspytyrghvlk3jkbmnfp76m

Colored Image Segmentation using K-Means Algorithm

Ishita Vishnoi, Nikunj Khetan, Sreedevi Indu
low quality images to recognize sign language for helping the hearing and speech impaired in real-time without requiring too much computational power or any other device as it can be implemented in any  ...  The proposed work achieves a satisfactory recognition accuracy using in-built laptop webcam using combination of 3 skin color models(HSV,RGB,YCbCr) and background subtraction to eliminate noise from webcam  ...  In k-means clustering, the vector space is divided into k randomly located centroids and the keypoints extracted from each of the images are assigned to the nearest cluster.The centroids are then shifted  ... 
doi:10.24297/ijct.v15i7.1559 fatcat:rmj32y4ylzeoxmu6avwkotf3g4

Generalized Projected Clustering in High-Dimensional Data Streams [chapter]

Ting Wang
2006 Lecture Notes in Computer Science  
Such correlation connected cluster [11] is meaningful in many areas, e.g., in E-business, the positive correlations indicate sets of similar purchase patterns.  ...  The method incorporates principal component analysis (PCA), streaming cluster feature vectors (SCF), and SCF-Tree (a variant of CF-Tree).  ...  Also, in order to make better use of space and enhance the quality of clusters, a merging enhancement step can be employed after insertion/deletion operation.  ... 
doi:10.1007/11610113_72 fatcat:yj64zwmal5dptk7uyntsiqwnoq
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