Fuzzy c-means for data with tolerance on L1 space

Ryuichi Murata; Yasunori Endo; Hiromi Toyoda; Sadaaki Miyamoto

doi:10.14864/softscis.2006.0.1747.0

SCIS & ISIS 2006

Session ID : SA-F2-2

DOI https://doi.org/10.14864/softscis.2006.0.1747.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

SA-F2 Clustering (1)

Fuzzy c-means for data with tolerance on L1 space

*Ryuichi Murata, Yasunori Endo, Hiromi Toyoda, Sadaaki Miyamoto

Author information

Keywords: fuzzy c-means, tolerance, optimization problem

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

The aim of the paper is to construct new fuzzy clustering which treat data with the tolerance on L1 space. We formulate the tolerance which means the permissible range of the error and introduce the tolerance into optimization problems which relate with clustering. The problems are solved. New algorithms are constructed based on the results of solving the problems.

Corresponding author

Register with J-STAGE for free!