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K-means clustering
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#	Item
541	This is the author’s version of a work that was submitted/accepted for publication in the following source: Salimi, Farhad, Ristovski, Zoran, Mazaheri, Mandana, Laiman, Rusdin, Crilley, Leigh R., He, Congrong, Clifford Add to Reading List Source URL: eprints.qut.edu.au Language: English - Date: 2015-02-27 05:39:53 Data mining Geostatistics K-means clustering Dunn index Computer cluster K-medoids Cluster chemistry Cluster Consensus clustering Statistics Cluster analysis Data analysis
542	c Allerton Press, Inc., 2011. ISSN[removed], Optoelectronics, Instrumentation and Data Processing, 2011, Vol. 47, No. 3, pp. 245–252. c I.A. Pestunov, V.B. Berikov, E.A. Kulikova, S.A. Rylov, 2011, published in Avto Add to Reading List Source URL: www.math.nsc.ru Language: English - Date: 2012-06-19 05:32:58 Cluster analysis Data analysis Data mining Geostatistics K-means clustering Genetic algorithm Pattern recognition DBSCAN Statistics Computational statistics Machine learning
543	Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall School of Informatics & Computing Indiana Univ Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:06 Web 2.0 Multivariate statistics Cluster analysis Tag Hierarchical clustering K-means clustering Geographic information system Geotagging Data mining Statistics Data analysis Geostatistics
544	Latent class models for clustering: A comparison with K-means Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Tilburg University Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:43 K-means clustering Unsupervised learning Mixture model Logistic regression Consensus clustering Statistics Machine learning Cluster analysis
545	Clustering Through Ranking On Manifolds Markus Breitenbach Dept. of Computer Science; University of Colorado, Boulder, USA BREITENM @ CS . COLORADO . EDU Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2005-06-08 13:28:01 Data mining Geostatistics Machine learning K-means clustering Spectral clustering Segmentation Consensus clustering CURE data clustering algorithm Statistics Multivariate statistics Cluster analysis
546	Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery Yi Chang†, Makoto Yamada†, Antonio Ortega‡, Yan Liu‡ † Yahoo Labs, Sunnyvale, CA 94089 ‡ University of Southern California, Los Ange Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-12-08 13:18:22 Cluster analysis Data mining Geostatistics Dynamic time warping Mixture model Expectation–maximization algorithm K-means clustering Lasso Autoregressive conditional heteroskedasticity Statistics Machine learning Time series analysis
547	Machine Learning on Spark Shivaram Venkataraman UC Berkeley Machine learning Add to Reading List Source URL: ampcamp.berkeley.edu Language: English - Date: 2013-02-27 07:37:26 Machine learning Cybernetics Learning Collaborative filtering Apache Hadoop K-means clustering Consensus clustering Book:Machine Learning - The Complete Guide Statistics Computational statistics Computing
548	CURIO : A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets∗ Aaron Ceglar, John F. Roddick and David M.W. Powers School of Informatics and Engineering, Flinders University, PO Box 2100, Adelaide, Add to Reading List Source URL: crpit.com Language: English - Date: 2012-01-19 01:28:41 Robust statistics Local outlier factor Anomaly detection Outlier Cluster analysis BIRCH Robust regression K-medoids K-means clustering Statistics Data mining Data analysis
549	Robust Bayesian Max-Margin Clustering Changyou Chen† Jun Zhu‡ Xinhua Zhang] † Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-10-30 20:29:12 Machine learning Statistical models Cluster analysis Mixture model Dirichlet process K-means clustering Variational Bayesian methods Loss function Hierarchical clustering Statistics Statistical theory Bayesian statistics
550	VISUAL SALIENCY WITH SIDE INFORMATION Wei Jiang1 , Lexing Xie2 , Shih-Fu Chang1 1 Columbia University, New York, NY Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-04-29 22:40:57 Data mining Cluster analysis Geostatistics Segmentation Pattern K-means clustering Statistics Machine learning Image processing

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