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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.]

5
votes
2answers
In the literature of community detection there are various measures bases on principles from information theory (Normalized mutual information, variation of information) that are used to compare parti …
asked Jan 16 '18 by Karen Mkhitaryan
1
vote
0answers
While reading about community detection and stochastic block model I came up with the article "Community detection and stochastic block models: recent developments" by Emmanuel Abbe. I saw there a def …
asked Aug 23 '17 by Karen Mkhitaryan
-2
votes
1answer
I want to detect specific number of communities in networks, which require algorithms, where number of communities are specified in advance. Also if there are any, I would like to know how to implemen …
asked Jan 15 '18 by Karen Mkhitaryan