A study of digital mammograms by using clustering algorithms

S. M. Halawani, M. Alhaddad, A. Ahmad

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This study presents clustering algorithms to study digital mammograms. Probabilistic clustering algorithms performed better than hierarchical clustering algorithm. Clustering results are competitive with classification results, indicating that clustering algorithms can be used as an important tool to study digital mammograms. Probabilistic clustering algorithms can also be used by radiologists to improve their prediction accuracy.

Original languageEnglish
Pages (from-to)594-600
Number of pages7
JournalJournal of Scientific and Industrial Research
Volume71
Issue number9
Publication statusPublished - Sept 2012
Externally publishedYes

Keywords

  • Classification
  • Clustering
  • K-mean clustering
  • Mammograms
  • Mixed datasets
  • Probabilistic

ASJC Scopus subject areas

  • General

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