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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]

3 votes

k-means implementation with custom distance matrix in input

Please see this article, written by one of my acquaintances ;) http://arxiv.org/abs/1304.6899 It is about a generalized k-means implementation, which takes an arbitrary distance matrix as input. It …
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