CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1980 vol.2 Issue No.01 - January
Issue No.01 - January (1980 vol.2)
James C. Bezdek , Department of Mathematics, Utah State University, Logan, UT 84322.
In this paper the convergence of a class of clustering procedures, popularly known as the fuzzy ISODATA algorithms, is established. The theory of Zangwill is used to prove that arbitrary sequences generated by these (Picard iteration) procedures always terminates at a local minimum, or at worst, always contains a subsequence which converges to a local minimum of the generalized least squares objective functional which defines the problem.
James C. Bezdek, "A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.2, no. 1, pp. 1-8, January 1980, doi:10.1109/TPAMI.1980.4766964