CalcSquaredDistances

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).

Input ports

1. Type: Table
   labeled data
   labeled data from k-Means clustering
2. Type: Table
   clusters
   clusters with attributes

Output ports

1. Type: Table
   sum_of_squared_distances
   sum of squared distances