Cancer classification using Fuzzy C-Means with feature selection

Arvan Aulia Rachman, Zuherman Rustam

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

22 Citations (Scopus)

Abstract

For many years, cancer classification to detect cancer at early stage of treatment has improved. Cancer classification is used for the treatment of cancer has entered the challenge to target specific therapy for each type of cancer pathogens in an effort to maximize efficacy and minimize toxicity. In general, cancer data consists of many features. However, not all of these features are informative. Therefore, among these features, Fisher's Ratio is applied to select the most informative features which form new data. Data on which feature selection has not been and has been performed are classified using Fuzzy C-Means. The experiment reveals that optimization which based on classification with feature selection increases the accuracy. Results show that, without doing feature selection, the accuracy is 82.92 % while with feature selection, the best accuracy is 89.68 % obtained by using 150 features. The results show the difference between all the dataset used and the dataset using feature selection.

Original languageEnglish
Title of host publicationProceedings - 2016 12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016
Subtitle of host publicationIn Conjunction with the 6th Annual International Conference of Syiah Kuala University
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-34
Number of pages4
ISBN (Electronic)9781509033850
DOIs
Publication statusPublished - 20 Jun 2017
Event12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016 - Banda Aceh, Indonesia
Duration: 4 Oct 20166 Oct 2016

Publication series

NameProceedings - 2016 12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016: In Conjunction with the 6th Annual International Conference of Syiah Kuala University

Conference

Conference12th International Conference on Mathematics, Statistics, and Their Applications, ICMSA 2016
CountryIndonesia
CityBanda Aceh
Period4/10/166/10/16

Keywords

  • cancer
  • classification
  • feature selection
  • Fisher's Ratio
  • Fuzzy C-Means

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