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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

This filter is available on Expert Complexity Level.