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This chapter continues to describe various generalizations and variations of fuzzy c-means clustering. The methods studied here are more specific or include more recent techniques. In a sense some of them are more difficult to understand than those in the previous section. It does not imply, however, that methods described in this chapter are less useful.
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© 2008 Springer-Verlag Berlin Heidelberg
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Miyamoto, S., Ichihashi, H., Honda, K. (2008). Variations and Generalizations - II. 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_4
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DOI: https://doi.org/10.1007/978-3-540-78737-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78736-5
Online ISBN: 978-3-540-78737-2
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