How is "soft" clustering different from traditional "hard" clustering?
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The hard clustering allows a data point to belong to only one cluster and hence, it is called as hard boundary or crisp clustering. Whereas, the soft clustering includes a soft boundary where a data point may belong to more than one cluster depending on the distance criteria.
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