Breast cancer diagnostic typologies by grade-of-membership fuzzy modeling

Dias J. G.

2nd WSEAS International Conference on Multivariate Analysis and Its Application in Science and Engineering, İstanbul, Turkey, 30 May - 01 June 2009, pp.129-133 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.129-133

Abstract

This paper proposes de definition of breast cancer diagnostic typologies by the grade-of-membership approach. This fuzzy Clustering model is described theoretically, and a fixed point algorithm is used in its estimation. An application to breast cancer diagnostic classification shows the existence of two distinct patterns. The graphical representation of the grade-of-membership estimates confirms the good fuzzy properties of the two-cluster solution