Fuzzy c-means for data with tolerance on L1 space

• Murata Ryuichi

  University of Tsukuba

• Endo Yasunori

  University of Tsukuba

• Toyoda Hiromi

  University of Tsukuba

• Miyamoto Sadaaki

  University of Tsukuba

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.

Journal

• SCIS & ISIS

  SCIS & ISIS 2006 (0), 1747-1752, 2006

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• fuzzy c-means
• tolerance
• optimization problem

Details

• CRID: 1390282680567175296
• NII Article ID: 130004672425
• DOI: 10.14864/softscis.2006.0.1747.0
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed