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Some alternatives to clustering with k-means. This skit was inspired by the examples in Schubert paper on stop using the elbow criterion for kmeans. Any other clustering fails out there? Covering: Normalization, Guassian mixture models, DBSCAN, HDBSCAN, #datascience #statistics #machinelearning #kmeans #clustering #rajistics Stop using the elbow criterion for k-means and how to choose the number of clusters instead: https://arxiv.org/abs/2212.12189 This is repost from last year
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