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K-medians clustering
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1	CS264: Beyond Worst-Case Analysis Lecture #6: Clustering in Approximation-Stable Instances∗ Tim Roughgarden† October 10, 2014 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2015-01-06 18:13:07 Statistics Computational statistics Data analysis Cluster analysis Data mining Geostatistics K-means clustering K-medians clustering Approximation algorithm Median Data stream clustering Single-linkage clustering
2	Microsoft PowerPoint - GeocompCluster.ppt Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2012-03-20 04:55:55 Means Cluster analysis K-means clustering Hierarchical clustering Medoid K-medoids Centroid Determining the number of clusters in a data set K-medians clustering
3	A Clustering under Approximation Stability MARIA-FLORINA BALCAN, Georgia Institute of Technology AVRIM BLUM, Carnegie Mellon University ANUPAM GUPTA, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-03-19 12:47:03 Cluster analysis Operations research Data mining Geostatistics Hierarchical clustering K-means clustering K-medians clustering K-means++ Consensus clustering
4	Scalable K-Means++ Bahman Bahmani Stanford University K-means Clustering   Fundamental problem in data analysis and machine learning Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:53 K-means++ K-means clustering Cluster analysis K-medians clustering Data stream clustering
5	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
6	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
7	Decision-theoretic Clustering of Strategies Add to Reading List Source URL: poker.cs.ualberta.ca Language: English - Date: 2015-03-04 17:02:48 Computational statistics Statistics Mathematics K-means clustering Hierarchical clustering Cluster analysis Image segmentation K-means++ Greedy algorithm K-medians clustering Data stream clustering Determining the number of clusters in a data set
8	Convex group clustering of large geo-referenced data sets 1 Convex Group Clustering of Large Geo-referenced Data Sets Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2003-06-20 15:59:57 Data mining Geostatistics Machine learning K-means clustering Complete-linkage clustering Hierarchical clustering BIRCH Expectation–maximization algorithm K-medians clustering Statistics Cluster analysis Data analysis
9	DATA CLUSTERING Algorithms and Applications Edited by Add to Reading List Source URL: www.charuaggarwal.net Language: English - Date: 2013-07-16 00:02:14 Document clustering Clustering high-dimensional data Non-negative matrix factorization Spectral clustering Correlation clustering K-means clustering K-medians clustering Hierarchical clustering BIRCH Statistics Cluster analysis Consensus clustering
10	Sublinear Time Approximate Clustering Nina Mishra Dan Oblinger y Abstract Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-04-21 16:55:06 Data analysis Data mining Geostatistics Machine learning K-medians clustering Data stream clustering Consensus clustering Statistics Multivariate statistics Cluster analysis