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K-means clustering
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#	Item
771	Intractability and Clustering with Constraints Ian Davidson [removed] S.S. Ravi [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:24 Cluster analysis Graph coloring Data mining Geostatistics Constrained clustering K-means clustering NP-complete Consensus clustering Complexity of constraint satisfaction Statistics Theoretical computer science Mathematics
772	K-Means We’ll consider a model problem. We have a bunch of points in the plane. We want to group these into clusters of nearby points. Let’s define the following problem. We have K clusters. Each cluster has a center Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2010-03-02 13:44:20 K-means clustering Least squares Machine learning Cluster analysis CURE data clustering algorithm Fuzzy clustering Statistics Computational statistics Mathematical optimization
773	Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:06 Machine learning Statistical theory Cluster analysis Multivariate statistics Mutual information Entropy K-means clustering Feature selection Mixture model Statistics Probability and statistics Information theory
774	1 Solution Daozheng Chen For all the scatter plots and 2D histogram plots within this solution, the x axis is for the saturation component, and the y axis is the value component. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2013-03-06 15:23:53 Expectation–maximization algorithm Missing data Segmentation K-means clustering Histogram Multivariate statistics Statistics Image processing Estimation theory
775	Boosting Margin Based Distance Functions for Clustering Tomer Hertz TOMBOY @ CS . HUJI . AC . IL Aharon Bar-Hillel AHARONBH @ CS . HUJI . AC . IL Daphna Weinshall Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:53 Cluster analysis Constrained clustering Boosting K-means clustering Semi-supervised learning Support vector machine Supervised learning Segmentation Pattern recognition Statistics Machine learning Computational statistics
776	Cluster Analysis Measuring Similarity Algorithms Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Machine learning K-means clustering K-medoids Medoid Unsupervised learning Pattern recognition Genetic algorithm Fuzzy clustering Consensus clustering Statistics Cluster analysis Computational statistics
777	Active Learning Using Pre-clustering Hieu T. Nguyen TAT @ SCIENCE . UVA . NL Arnold Smeulders SMEULDERS @ SCIENCE . UVA . NL Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:42 Cluster analysis Supervised learning K-means clustering Semi-supervised learning Statistical classification Linear classifier Support vector machine Book:Machine Learning - The Complete Guide CURE data clustering algorithm Statistics Machine learning Computational statistics
778	CMSC828J Term Project Report Daozheng Chen University of Maryland, College Park [removed] Abstract Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2013-03-05 18:48:01 Statistical classification K-means clustering Histogram Object recognition Support vector machine Gaussian function Naive Bayes classifier Feature Histogram of oriented gradients Statistics Computer vision Artificial intelligence
779	Searching the World’s Herbaria: A System for Visual Identification of Plant Species Peter N. Belhumeur1 , Daozheng Chen2 , Steven Feiner1 , David W. Jacobs2 , W. John Kress3 , Haibin Ling4 , Ida Lopez3 , Ravi Ramamoort Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-02-02 18:15:34 Shape context K-means clustering Artificial intelligence Statistics Caltech 101 Mathematics Computer vision Image processing Segmentation
780	A Knowledge Integration Framework for Information Visualization Jinwook Seo1,2 and Ben Shneiderman1,2,3 1. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2004-11-12 13:38:29 Machine learning Geostatistics Hierarchical clustering Gene expression profiling Dendrogram K-means clustering Database Knowledge discovery Consensus clustering Statistics Cluster analysis Data mining

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