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K-means clustering
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371	Spectral Clustering with Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne, Victoria 3010 Australia Add to Reading List Source URL: tom.thesnail.org Language: English - Date: 2015-05-04 03:09:24 Cluster analysis Multivariate statistics Linear algebra Matrix theory Data mining Spectral clustering Semidefinite programming K-means clustering Correlation clustering Statistics Mathematics Algebra
372	Data Mining in Hydrology J.M. Spate,a, B.F.W. Crokeb, A.J. Jakemanb a Department of Mathematics, The Australian National University, Canberra ACT 0200, Australia () Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-14 21:18:26 Hydraulic engineering Cluster analysis Multivariate statistics Data mining Hydrograph Medoid K-means clustering Machine learning Weka Statistics Data analysis Hydrology
373	April 11, :7 WSPC/INSTRUCTION FILE Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2014-04-11 04:07:34 Data mining Geostatistics Machine learning K-means clustering Segmentation Constrained clustering Statistics Cluster analysis Data analysis
374	PDF Document Add to Reading List Source URL: dunuah571ylv3.cloudfront.net Language: English - Date: 2014-08-17 17:10:46 Cloud infrastructure Cloud computing Apache Hadoop Emerging technologies Scikit-learn Hadoop SciPy Big data K-means clustering Computing Software Computer programming
375	1 Building Rome on a Cloudless Day (ECCVJan-Michael Frahm1 , Pierre Georgel1 , David Gallup1 , Tim Johnson1 , Rahul Raguram1 , Changchang Wu1 , Yi-Hung Jen1 , Enrique Dunn1 , Brian Clipp1 , Svetlana Lazebnik1 , M Add to Reading List Source URL: www.cs.unc.edu Language: English - Date: 2010-06-07 16:49:40 Cluster analysis Data mining Geostatistics K-means clustering Medoid K-medoids 3D reconstruction Structure from motion 3D modeling Statistics Computing Computer vision
376	SPSS T WO S TEP C LUSTER – A F IRST E VALUATION∗ Johann Bacher†, Knut Wenzig‡, Melanie Vogler§ Universit¨at Erlangen-N¨urnberg SPSS 11.5 and later releases offer a two step clustering method. According to the Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:36:47 Cluster analysis K-means clustering Hierarchical clustering Level of measurement Latent class model Consensus clustering Statistics Multivariate statistics SPSS
377	Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates Add to Reading List Source URL: digitalcollections.anu.edu.au Language: English - Date: 2015-04-16 13:13:34 Bioinformatics Machine learning Data mining Cluster analysis K-means clustering Multiple sequence alignment K-means++ Neighbor joining Partition Statistics Computational phylogenetics Computational statistics
378	Leveraging Spatio-Temporal Clustering for Participatory Urban Infrastructure Monitoring Add to Reading List Source URL: blog.terracotta.org Language: English - Date: 2014-11-20 13:58:08 Data mining Geostatistics DBSCAN K-means clustering Consensus clustering OPTICS algorithm Statistics Data analysis Cluster analysis
379	Eigenplaces: Segmenting Space through Digital Signatures Add to Reading List Source URL: senseable.mit.edu Language: English - Date: 2010-01-26 13:38:32 Data analysis Multivariate statistics Singular value decomposition Data mining Eigenvalues and eigenvectors Silhouette Wi-Fi K-means clustering Principal component analysis Statistics Algebra Cluster analysis
380	Neural Computation, vol.26, no.1, pp.84–131, Information-Maximization Clustering based on Squared-Loss Mutual Information∗ Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-02-26 18:28:23 Statistical theory Cluster analysis Data mining Geostatistics K-means clustering Kullback–Leibler divergence Mutual information Kernel density estimation Determining the number of clusters in a data set Statistics Multivariate statistics Machine learning

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