JACIII Vol.12 No.5 pp. 454-460
doi: 10.20965/jaciii.2008.p0454


Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership Clusters

Sadaaki Miyamoto*

*Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba
Ibaraki 305-8573, Japan

October 10, 2007
February 15, 2008
September 20, 2008
fuzzy c-means clustering, calculus of variations, twofold memberships
A membership matrix of fuzzy c-means clustering is associated with corresponding fuzzy classification rules as membership functions defined on the whole data space. We directly derive such functions in fuzzy c-means and possibilistic clustering using the calculus of variations, generalizing ordinary fuzzy c-means and deriving new twofold membership clustering using this framework.
Cite this article as:
S. Miyamoto, “Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership Clusters,” J. Adv. Comput. Intell. Intell. Inform., Vol.12 No.5, pp. 454-460, 2008.
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