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, Türkiye, 30 Mayıs - 01 Haziran 2009, ss.129-133 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.129-133


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