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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
3 answers
3k views

Clustering numeric, categorical, and multivalue categorical data

I have looked into SOM as an unsupervised NN that performs clustering, but I haven't seen evidence that it can handle multivalue categorical. …
OverflowingTheGlass's user avatar
0 votes
2 answers
515 views

Anomaly Detection Without a Baseline

I have thought of (and deployed some) clustering methods, but I have no way to know whether the clusters mean anything, because I don't know what normal behavior looks like. …
OverflowingTheGlass's user avatar
1 vote
1 answer
255 views

Are Bitmap Fields Containing Only One 1 Appropriate for K-Modes Hamming Distance

I have a dataset with mixed datatypes: id amount creator accounts 1 100 jane cash 1 100 jane accounts receivable 2 200 john tax account Eac …
OverflowingTheGlass's user avatar