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The k-means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation-maximization algorithm for mixtures of ...
http://en.wikipedia.org/wiki/K-means K-means and KD-trees resources. Read the K-means paper (PS), or K-means paper (PDF). Note: recently a similar, though independent, result, was brought to our attention.
http://www.cs.cmu.edu/~dpelleg/kmeans.html k-means++: The Advantages of Careful Seeding David Arthu r * Sergei Vassilvitski i ? Abstract Thek-means method isawidelyused clustering technique that seeks to minimize the ...
http://www.stanford.edu/~darthur/kMeansPlusPlus.pdf An algorithm for partitioning (or clustering) N data points into K disjoint subsets S_j containing N_j data points so as to minimize the sum-of-squares criterion J=sum_(j=1)^Ksum ...
http://mathworld.wolfram.com/K-MeansClusteringAlgorithm.html Another variation of the agglomerative clustering approach is conceptual clustering. Partitional clustering K-means and derivatives K-means clustering
http://en.wikipedia.org/wiki/Data_clustering kMeans. k-Means is a rather simple but well known algorithms for grouping objects, clustering. Again all objects need to be represented as a set of numerical features.
http://cwiki.apache.org/MAHOUT/k-means.html K-means and Hierarchical Clustering Tutorial Slides by Andrew Moore. K-means is the most famous clustering algorithm. In this tutorial we review just what it is that clustering is ...
http://www.autonlab.org/tutorials/kmeans.html k-means with Python. By leonardo maffi Version 2.0, 2 Jun 2007 [Go back to the index] A basic implementation of k-means algorithm in pure Python language: kmeans.zip
http://www.fantascienza.net/leonardo/so/kmeans/kmeans.html Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu
http://www.cs.umd.edu/~mount/Projects/KMeans We have implemented k-means clustering in both software and reconfigurable hardware. These pages give an overview of the k-means algorithms and some of the decisions to be made ...
http://www.ece.neu.edu/groups/rpl/projects/kmeans/ |
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