What is Compare clusters?

Compare clusters is a tool to identify the optimal number of clusters for K-means Clustering using the Davies-Bouldin index. The Davies-Bouldin index is a measure of cluster quality where a lower value indicates better clustering, i.e., the separation between points within the clusters is low (tight clusters) and separation between clusters is high (distinct clusters). 

Running Compare clusters

We recommend normalizing your data prior to running Compare clusters, but the task will run on any counts data node. 

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The parameters for Compare clusters are the same as for K-means clustering.

Compare clusters task report

The Compare clusters task report is an interactive line chart with the number of clusters on the x-axis and the Davies-Bouldin index on the y-axis (Figure 2).

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