A Kernel PBM Index for Fuzzy Clustering of Numeric Data

Clustering is a fundamental technique for pattern recognition and machine learning. This paper proposes an improvement in the estimation of the well known PBM index which has been widely used for validating the results obtained from data clustering. Experimental results supporting the improvement are presented to show that despite the change the newer version performs the same as the original version of the index.

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