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-means is a partitional clustering technique that is well-known and widely used for its low computational cost. The representative algorithms include the hard -means and the fuzzy -means. However, the performance of these algorithms tends to be affected by skewed data distributions, i.e., imbalanced data. They often produce clusters of relatively uniform sizes, even if input data have varied cluster...
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