Multiple fuzzy c-means clustering algorithm in medical diagnosis.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 26410519

Abstract

BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases. However, its performance is highly dependent on the randomly initialized cluster centroids which may allow the diagnosis to be trapped into the problem of the local optimum.

Authors

  • Yanping Wu
    Department of Biomedical Engineering, School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
  • Huilong Duan
    The College of Biomedical Engineering and Instrument Science, Zhejiang University, 310027 Hangzhou, Zhejiang, China.
  • Shufeng Du
    Zhejiang Dahua Technology Co., Ltd, Hangzhou, Zhejiang, China.

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