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Many studies have been done with respect to variations and generalizations of the basic methods of fuzzy c-means. We will divide those variations and generalizations into two classes. The first class has ‘standard variations or generalizations’ that include relatively old studies, or should be known to many readers of general interest. On the other hand, the second class includes more specific studies or those techniques for a limited purpose and will be interested in by more professional readers. We describe some algorithms in the first class in this chapter.
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© 2008 Springer-Verlag Berlin Heidelberg
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Miyamoto, S., Ichihashi, H., Honda, K. (2008). Variations and Generalizations - I. In: Algorithms for Fuzzy Clustering. Studies in Fuzziness and Soft Computing, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78737-2_3
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DOI: https://doi.org/10.1007/978-3-540-78737-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78736-5
Online ISBN: 978-3-540-78737-2
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