Kernelization of generalized noise clustering

Abstract

Kernel function used in support vector machine is introduced to generalized noise clustering. Proposed method detects noise and succeeded in nonlinear separation at the same time. The property of fuzzy classication functions of kernelized generalized noise clustering when an object goes to infinity is studied. A numerical example is shown.