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K-means
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#	Item
671	A Comparative Evaluation of Anomaly Detection Algorithms for Maritime Video Surveillance Bryan Auslander1, Kalyan Moy Gupta1, and David W. Aha2 1 Knexus Research Corporation; Springfield, VA 22153 Add to Reading List Source URL: www.nrl.navy.mil Language: English - Date: 2013-08-26 10:24:10 Data analysis Formal sciences Anomaly detection Data security Local outlier factor Cluster analysis Anomaly K-nearest neighbor algorithm K-means clustering Statistics Data mining Machine learning
672	Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion Gunhee Kim1 1 Eric P. Xing1 Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:20:16 Submodular set function Optics Segmentation Vision Heat equation Diffusion MRI K-means clustering Random walk Active contour model Statistics Image processing Computer vision
673	Appendix A. Properties of EDS grids In this appendix, we characterize the dispersion of points, the number of points, and the degree of uniformity of the constructed EDS. Also, we discuss the relation of our results to r Add to Reading List Source URL: www.qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Hierarchical clustering Network analysis Cluster analysis Cosmic distance ladder K-means clustering Expected value Statistics Multivariate statistics Machine learning
674	Package ‘HPdcluster’ January 20, 2015 Type Package Title Distributed Clustering for Big Data Version[removed]Date[removed] Add to Reading List Source URL: my.vertica.com Language: English - Date: 2015-01-20 16:48:53 Multivariate statistics Data analysis K-means clustering Computer cluster Cluster labeling Matrix Statistics Computing Cluster analysis
675	Appendix A. Properties of EDS grids In this appendix, we characterize the dispersion of points, the number of points, and the degree of uniformity of the constructed EDS. Also, we discuss the relation of our results to r Add to Reading List Source URL: qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Hierarchical clustering Network analysis Cluster analysis Cosmic distance ladder K-means clustering Expected value Statistics Multivariate statistics Machine learning
676	QUAC: Quick Unsupervised Anisotropic Clustering D. Hanwell, M. Mirmehdi Visual Information Laboratory, University of Bristol, Bristol, United Kingdom Abstract We present a novel unsupervised algorithm for quickly finding Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-07-08 05:45:18 Machine learning Data mining Geostatistics K-means clustering Gaussian function Hierarchical clustering Spectral clustering Segmentation DBSCAN Statistics Cluster analysis Multivariate statistics
677	Uncertain Data Mining: An Example in Clustering Location Data Michael Chau1, Reynold Cheng2, Ben Kao3, and Jackey Ng1 1 School of Business, The University of Hong Kong, Pokfulam, Hong Kong Add to Reading List Source URL: i.cs.hku.hk Language: English - Date: 2006-08-10 04:18:18 Cluster analysis Data mining Geostatistics Fuzzy clustering K-means clustering Single-linkage clustering Principal component analysis Consensus clustering Determining the number of clusters in a data set Statistics Multivariate statistics Data analysis
678	Auto clustering for unsupervised learning of atomic gesture components using minimum description len - Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001. Proceedings. Add to Reading List Source URL: westminsterresearch.wmin.ac.uk Language: English - Date: 2010-08-11 10:30:20 Multivariate statistics Cluster analysis User interface techniques Gesture recognition Gesture Segmentation Hidden Markov model Mixture model K-means clustering Statistics Machine learning Data analysis
679	Life sciences data acquisition and analysis system Features in detail Version 5 SPIKE SORTING Add to Reading List Source URL: www.science-products.ch Language: English - Date: 2014-01-27 07:17:17 Statistics Neuroscience Nervous system Spike sorting Data analysis Multivariate statistics Tetrode Principal component analysis K-means clustering Neurophysiology Electrophysiology Biology
680	International Scholarly Research Network ISRN Artificial Intelligence Volume 2012, Article ID[removed], 6 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-14 09:16:28 Multivariate statistics Cluster analysis K-means clustering Hierarchical clustering BIRCH FLAME clustering CURE data clustering algorithm Statistics Fuzzy clustering Geostatistics

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