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Results tagged with clustering
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user 248691
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.]
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Clustering based on large Jensen-Shannon Divergence distance matrix
This thread is a little old, but in the world of networks, it is common practice to use connectivity-based (hierarchical) clustering such as Wards, etc. when dealing with pair-wise distance measures. … After calculating the JSD matrix, they apply hierarchical clustering, and then follow-up with a third step of using the Von Neumann entropy as a criteria for deciding the optimal place for cutting the …
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