calculates squared distances of clustering results for internal evaluation (k means for a single value of k)
The component uses the labelled output of k-Means node together with cluster data of k-Means and calculates the total sum of squared distances between data point and cluster center for all data points.
It may be used in a loop to compare different k (elbow method).
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