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Results tagged with clustering
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user 221618
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 do you do when there's no elbow point for kmeans clustering
We can use the NbClust package to find the most optimal value of k.
It provides 30 indices for determining the number of clusters and proposes the best result.
NbClust(data=df, distance ="euclidean", …