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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.]

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Cross-validation for Comparing Clustering Techniques

The other problem is that for some clustering algorithms I'm using, have really no good way of computing the clustering assignment for data that is removed. … I'm thinking of hierarchal clustering and spectral clustering. …
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