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Clusters 3D points using K Means Clustering method.
Name | Type | Range | Description | |
---|---|---|---|---|
inPoints | Point3DArray | Array of points to cluster | ||
inClusters | Integer | 2 - + | Number of clusters to extract | |
inMaxIterations | Integer | 10 - 1000 | Maximal number of KMeans iterations | |
outClusters | Point3DArray?Array | Resulting Point3D clusters | ||
outCentroids | Point3D?Array | Center of found clusters | ||
outDistanceSum | Real | Sum of distance squares from points in array to its respective cluster center |
Complexity Level
This filter is available on Expert Complexity Level.