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Results tagged with clustering
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user 43473
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
Comparing k-means results to original data: how to interpret the resulting plots?
What I would do is first drop q from the inputs of the clustering. Secondly, you should standardize your variables to mean zero and unit variance. … Clustering is never an exercise in perfection, but keep at it and see if you get a result that is useful. …
1
vote
customer segmentation with categorical variables
It works really well and has very interpretable results unlike some other methods of binary clustering I've tried. …