Noise immunity is achieved by incorporating concepts from robust statistics into the algorithm.
The second set corresponds to robust weights, and is used to obtain robust estimates of the cluster prototypes. By choosing an appropriate distance measure in the objective function, RCA can be used to find an unknown number of clusters of various shapes in noisy data sets, as well as to fit an unknown number of parametric models simultaneously . Robust clustering, fuzzy clustering, competitive clustering, robust statistics, optimal number of clusters, linear regression, range image segmentation, motion estimation. Inc. All rights reserved.