Fuzzy clustering in biochemical analysis of cancer cells

Xiao Ying Wang, Jonathan M. Garibaldi, Benjamin Bird, Mike W. George

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Currently there is considerable effort investigating whether infrared spectroscopy can be used as a diagnostic probe to identify early stages of cancer since these techniques are sensitive to biological changes within cells. Cluster analysis is often used to try and unravel complex vibrational images. In this paper, a Fuzzy C-Means (FCM) based model selection algorithm was used to automatically cluster sets of infrared spectral data taken from lymph node tissue sections. Initial results were often prone to the creation of excessive clusters in comparison with clinical diagnosis which is partly due to the complexities of biological tissue. A new method to merge clusters was developed with the ability to successfully find and combine the two most similar clusters in order to address this problem. This new method was applied to four sets of infrared spectral data, from two types of human cancers (lymph node and oral). The experimental results clearly show that this new method can successfully combine the most similar clusters together and potentially improve the accuracy of diagnosis.

Original languageEnglish
Title of host publicationProceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference
Pages1118-1123
Number of pages6
Publication statusPublished - 2005
Externally publishedYes
EventJoint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005 - Barcelona, Spain
Duration: 7 Sep 20059 Sep 2005

Publication series

NameProceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference

Conference

ConferenceJoint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005
Country/TerritorySpain
CityBarcelona
Period7/09/059/09/05

Keywords

  • FCM
  • Lymph node

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Fingerprint

Dive into the research topics of 'Fuzzy clustering in biochemical analysis of cancer cells'. Together they form a unique fingerprint.

Cite this