Host: ISCIE, SICE, JSME, JSPE, JSASS, SCEJ
Co-host: Technically Cosponsored by 48 Societies and Institutes
A technique for analytically estimating a relaxed solution for k-Means clustering was proposed based on a PCA-guided manner. In the technique, however, the derived cluster indicator is a rotated solution, in which the rotation matrix cannot be explicitly estimated. This paper introduces a technique estimating rotation matrix by Procrustean transformation of principal component scores in order to select the optimal solution from multiple solutions derived by Fuzzy c-Means, and proposes a cluster validation method considering the deviation between the fuzzy clustering solution and the re-constructed membership indicator matrix, which implies the plausibility of the fuzzy clustering solution from the view point of information summarization.
