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ClusterPoints3D

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