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Power K-Means
Data Skeptic
Is There a Cost to Soft Clustering?
The algorithm is designed from a principle called majorization minimization. It uses all the data and assigns weights, similar to probablistic clustering such as e malgarithm for gaushen mixture models. The measure of fit we want to deal with is the same as the camines objective. If you don't carefully tune it, it tends to already out perform lloyd's algorithm.
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