Fuzzy k-means algorithm and MATLAB realization
2016-08-23
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Fuzzy k-means algorithm derived from the k-means algorithm. In the course of k-means algorithm for clustering, the result may not be the expected result, but the boundaries of the category is clear, of cluster centers under the current modified sample. Fuzzy k-means algorithm for clustering in the process, each time you get the category boundaries are still vague, per category the modification requires all of these samples in addition clustering criteria reflect the ambiguity. Fuzzy k-means algorithm for clustering results are still fuzzy, but if real problems would like to have a clear set of limits, results can also be blurred, transformed fuzzy clustering through certain rules for classification of certainty.
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