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  • 标题:Survey on Medical Data Cluster analysis using Feature Selection and Neural Networks
  • 本地全文:下载
  • 作者:V.Sangeetha ; J.Preethi ; M.Sreeshakthy
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:11
  • 页码:3731-3738
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Medical data are the real world data and certainly complex and huge in number. Their analysis requires many complex operations. Such medical data are of image, signal or dataset. Works on classification of medical data are numerous whereas clustering medical data is on the rising side. In this paper, we make a survey on the procedures and its variants for making analysis on the medical image data using clustering. The images are preprocessed, features are extracted, then extracted features are selected using existing optimization algorithms and at last the features are clustered for analysis. To make clustering Neural Networks are discussed. The cluster is then validated for its accuracy.
  • 关键词:Medical data; Feature selection; Feature ; Extraction; Filter and Wrapper model; Clustering; ; Neural Networks; Cluster validation
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