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Results tagged with clustering
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user 102554
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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Grouping variables with small sample size
My first thoughts were factor analysis and hierarchical clustering. For factor analysis the sample size is obviously a huge problem. … Similarly for hierarchical clustering I simulated data in R with small n and a large number of variables in such a way that I knew which ones were similar but with such small sample sizes the clusters …
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