Effective FCM noise clustering algorithms in medical images

Abstract

The main motivation of this paper is to introduce a class of robust non-Euclidean distance measures for the original data space to derive new objective function and thus clustering the non-Euclidean structures in data to enhance the robustness of the original clustering algorithms to reduce noise and outliers. The new objective functions of proposed… (More)
DOI: 10.1016/j.compbiomed.2012.10.002

10 Figures and Tables

Topics

  • Presentations referencing similar topics