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K-medians clustering
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11	Staying in the Middle: Exact and Approximate Medians in R1 and R2 for Moving Points ∗ Pankaj K. Agarwal† 1 Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2005-07-31 13:55:46 K-d tree VC dimension Algorithm Centerpoint Ε-net Data stream clustering Geometry Mathematics Statistics
12	CCCG 2013, Waterloo, Ontario, August 8–10, 2013 Fault Tolerant Clustering Revisited Nirman Kumar∗ Abstract Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2013-08-11 21:51:56 Approximation algorithms Computational complexity theory Cluster analysis Data mining Geostatistics K-means clustering K-medians clustering Metric k-center Algorithm Mathematics Theoretical computer science Statistics
13	k-means++ under Approximation Stability Manu Agarwal1? , Ragesh Jaiswal2 , and Arindam Pal3?? 1 3 Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2013-03-11 23:00:27 K-medians clustering Operations research K-means++ XTR Expected value Dirac delta function Normal distribution Mathematics Statistics Mathematical analysis
14	In section[removed], we say that expression[removed]for the within cluster sum of squares W (C) = K 1X X Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2009-07-20 17:34:35 Cluster analysis K-medians clustering Fuzzy clustering Statistics Computational statistics K-means clustering
15	CLUES: A Unified Framework Supporting Interactive Exploration of Density-Based Clusters in Streams Di Yang, Zhenyu Guo, Elke A. Rundensteiner, and Matthew O. Ward Worcester Polytechnic Institute 100 Institute Road, Worce Add to Reading List Source URL: davis.wpi.edu Language: English - Date: 2011-10-20 16:12:12 Cluster analysis Data analysis Data mining Geostatistics DBSCAN Computer cluster K-medians clustering Statistics Computing Parallel computing
16	Microsoft PowerPoint - kmeans11 Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:22 K-means clustering Hierarchical clustering Computer cluster K-medians clustering Cluster analysis Computing Statistics Computer programming
17	REPORTS Brendan J. Frey* and Delbert Dueck Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars” can be found Add to Reading List Source URL: www.psi.toronto.edu Language: English - Date: 2007-07-03 17:24:04 Machine learning K-medians clustering Operations research K-means clustering Spectral clustering Exemplar Belief propagation Statistics Computational statistics Cluster analysis
18	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan† Avrim Blum‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-10-31 19:53:49 Hierarchical clustering K-means clustering Single-linkage clustering K-medians clustering Document clustering Consensus clustering Machine learning Data stream clustering Statistics Cluster analysis Correlation clustering
19	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.biomedcentral.com Language: English K-means clustering K-medians clustering Medoid Bioinformatics Consensus clustering Ridge Statistics Cluster analysis Gene expression profiling
20	Quantum Clustering Algorithms Esma A¨ımeur [removed] Gilles Brassard [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:17 Cluster analysis Theoretical computer science Data mining Geostatistics Quantum algorithm K-medians clustering K-means clustering K-medoids Quantum computer Statistics Applied mathematics Computational statistics