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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.]
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What are the right metrics to validate the performance of a custom clustering model with thr...
I have developed a custom clustering model on top of MiniBatchKmeans, that has three possible outcomes for each data point:
Assign the point to the correct cluster. … Can anyone recommend metrics or a combination of metrics that would best validate the performance of my custom clustering model? …