Fuzzy K-means clustering and rough K-means clustering. Both are similar in nature, so how do they differ from each other?
James F. Peters
A very good, interesting question.
Rough k-means entails the use of upper and lower approximations of the objects in k clusters. For a comparison of classical k-means with rough k-means, see the attached paper.
Fuzzy k-means differs sharply from rough k-means. Objects are assigned to classes with varying degrees of membership. See my next post with the attached paper that covers various forms of clustering, including fuzzy k-means.
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James F. Peters
For a comprehensive study of various clustering methods, including fuzzy k-means, set the attached paper.
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