On Fuzzy c-Means for Data with Tolerance
Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2006
This paper presents two new clustering algorithms which are based on the entropy regularized fuzzyc-means and can treat data with some errors. First, the tolerance is formulated and introduce into optimization problems of clustering. Next, the problems are solved using Kuhn-Tucker conditions. Last, the algorithms are constructed based on the results of solving the problems.