Traditional K-means has a number of limitations, such as sensitivity to out- liers and difficulty in handling clusters of different sizes and densities, or with non-globular shapes. Comment on the ability of fuzzy c-means to handle these situations.
What will be an ideal response?
Fuzzy c-means has all the limitations of traditional K-means, except that it
does not make a hard assignment of an object to a cluster.
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