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K-means clustering
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91	CS264: Beyond Worst-Case Analysis Lecture #7: Perturbation Stability and Single-Link++∗ Tim Roughgarden† October 13, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-11-05 02:46:42 Operations research Cluster analysis Data mining Geostatistics K-means clustering K-medians clustering Minimum spanning tree Dynamic programming K-nearest neighbors algorithm
92	SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Spectral clustering K-means clustering Document clustering Pattern recognition Expectationmaximization algorithm Determining the number of clusters in a data set Hierarchical clustering
93	Unsupervised Recognition and Clustering of Speech Overlaps in Spoken Conversations Shammur A. Chowdhury, Giuseppe Riccardi, Firoj Alam Department of Information Engineering and Computer Science, University of Trento, Ita Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-10-28 17:53:14 Computational linguistics Data mining Cluster analysis Geostatistics K-means clustering Turn-taking Image segmentation Pattern recognition Speech recognition K-means++
94	43 Croatian Operational Research Review CRORR), 43–53 Multiple ellipse fitting by center-based clustering Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2015-06-12 01:48:22 Conic sections Curves Numerical analysis Regression analysis Analytic geometry Ellipse Hough transform Mahalanobis distance Curve fitting K-means clustering Fuzzy clustering Pi
95	The Complexity of the k-means Method∗ Tim Roughgarden1 and Joshua R. Wang2 1 Department of Computer Science, Stanford Univeresity, 474 Gates Building, 353 Serra Mall, Stanford, CA 94305, USA Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-27 17:36:50 NAND gate FO K-means++ K-means clustering Gadget Cluster analysis
96	Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities Huazhong Ning∗ Wei Xu† Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2007-02-26 15:44:42 Matrix theory Linear algebra Abstract algebra Eigenvalues and eigenvectors Singular value decomposition Spectral clustering Graph partition Cluster analysis Eigendecomposition of a matrix Matrix Symmetric matrix K-means clustering
97	Parallel k-Means in Theory in Practice Florian Schoppmann August 1, 2012 Add to Reading List Source URL: florian-schoppmann.net Language: English - Date: 2016-03-04 03:20:22 K-means clustering K-means++
98	1 Interpretation and optimization of the k-means algorithm Kristian Sabo Department of Mathematics, University of Osijek Trg Lj. Gaja 6, HR – Osijek, Croatia Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2014-08-17 03:38:51 Operations research K-means clustering K-medians clustering Voronoi diagram Draft:Sub-linear time algorithm
99	INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:10 Magnetic resonance imaging Multivariate statistics Neuroimaging Signal processing Cognitive neuroscience Functional magnetic resonance imaging Independent component analysis Principal component analysis Event-related functional magnetic resonance imaging K-means clustering Functional integration Resting state fMRI
100	Clustering Dynamic Textures with the Hierarchical EM Algorithm Antoni B. Chan Dept. of Computer Science City University of Hong Kong Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Estimation theory Force Mechanics Rigid bodies Mechanical engineering Hierarchical clustering Kalman filter Work Rigid body dynamics K-means clustering Expectationmaximization algorithm Cluster analysis

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