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K-means
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111	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
112	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++
113	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
114	Millar, JTax Credits. In: Understanding Social Security.2nd ed. Policy Press, Bristol, ppISBNLink to official URL (if available): http://www.policypress.co.uk/display.asp?K= Add to Reading List Source URL: opus.bath.ac.uk Language: English - Date: 2016-08-02 12:29:46 Tax credits Taxation in the United Kingdom Taxation Employment compensation Income distribution Working tax credit Earned income tax credit Income tax in the United States Social Security Means-tested benefit Family Credit Child tax credit
115	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
116	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
117	Visual Interactive Neighborhood Mining on High Dimensional Data Emin Aksehirli • Bart Goethals • Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2015-07-24 15:50:18 Multivariate statistics Cluster analysis Data mining Geostatistics K-means clustering Hierarchical clustering Dimension reduction K-nearest neighbors algorithm Machine learning Multidimensional scaling Pattern recognition Nonlinear dimensionality reduction
118	Available Availableonline onlineatatwww.sciencedirect.com www.sciencedirect.com ProcediaComputer Add to Reading List Source URL: noorshaker.com Language: English - Date: 2013-06-27 08:34:43 Statistics Computing Computational statistics Cluster analysis Data mining Geostatistics Medoid K-medoids K-means clustering Silhouette DaviesBouldin index Computer cluster
119	Microsoft PowerPoint - cs677s15_5.pptx Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-02-18 03:56:39 Computing Parallel computing Computer programming Statistics K-means clustering K-nearest neighbors algorithm Computer cluster Mean shift CURE data clustering algorithm
120	An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2014-06-02 17:06:00 Machine learning Statistics Artificial intelligence Learning Feature learning Deep learning K-means clustering Pattern recognition Supervised learning Statistical classification Artificial neural network Cluster analysis

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