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(a) and (b) show the boost in Purity and Entropy as a function of Number of Iterations after the completion the completion of the Re-labeler algorithm. (c) demonstrates SSE as an unsupervised evaluation mechanism that mimics purity and entropy as the measure of true clusters. The blue and black lines are the result of running fuzzy c-mean and kernel k-mean on the same dataset.
