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Results tagged with k-means
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user 66957
k-means is a family of cluster analysis methods in which you specify the number of clusters you expect. This is as opposed to hierarchical cluster analysis methods.
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What criteria use in order to select the best internal validation for clustering?
I am doing homework about how to evaluate a clustering algorithm both hierarchical and partitional.
For doing this I have a dataset that I can plot as you can see:
The clustering algorithms that I am …
- 337
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Why Davies-Bould chose a number ob cluster higher than Silhouette or Calinsky Harabasz?
I am doing use several metrics in order to know what number of clusters is correct in order to do this I selected 3 clustering algorithms and 3 internal evaluation metrics, Silhouette, Calinsky Harbas …
- 337