Clustering Algorithms in Biomedical Research: A Review

@article{Xu2010ClusteringAI,
  title={Clustering Algorithms in Biomedical Research: A Review},
  author={Rui Xu and D. Wunsch},
  journal={IEEE Reviews in Biomedical Engineering},
  year={2010},
  volume={3},
  pages={120-154}
}
  • Rui Xu, D. Wunsch
  • Published 2010
  • Computer Science, Medicine
  • IEEE Reviews in Biomedical Engineering
Applications of clustering algorithms in biomedical research are ubiquitous, with typical examples including gene expression data analysis, genomic sequence analysis, biomedical document mining, and MRI image analysis. However, due to the diversity of cluster analysis, the differing terminologies, goals, and assumptions underlying different clustering algorithms can be daunting. Thus, determining the right match between clustering algorithms and biomedical applications has become particularly… Expand
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