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

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labeled data from k-Means clustering
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clusters with attributes

Output Ports

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sum of squared distances

Nodes

Extensions

Links

Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2021-06-10
Last update: 2024-12-17
Created with KNIME version: v4.5.2

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