Abstract
The ‘Curse of Dimensionality’ is formulated in a mathematical way that is useful to understand the problems of clustering in high-dimensional spaces. Clustering tasks in high-dimensional spaces have a set of very difficult challenges, especially for one of the most widely used clustering algorithms: Fuzzy c-Means. Three alternatives to Fuzzy c-Means are described that can overcome its problems.
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