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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. …
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. …
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 …