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Results tagged with clustering
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user 257481
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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K-means classifies 96% of my data in 1 cluster. Any suggestions to improve the results?
Problem: K-Means clustering shows 96% of my data belongs to one cluster. How can I improve my results or should I conclude that no cluster exists in my dataset. … Dbscan clustering shows 1 cluster exists.
Dataset: I have monthly purchase data for 15 products across all customers for the past 15 months. …
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