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  • 标题:A Study of Using Custom-Clustering Algorithm for a New Treatment of COVID-19
  • 本地全文:下载
  • 作者:Albert Figueras ; Santiago Esteva ; Josep Lluís De La Rosa
  • 期刊名称:Journal of Computer Science & Systems Biology
  • 印刷版ISSN:0974-7230
  • 出版年度:2020
  • 卷号:13
  • 期号:4
  • 页码:1-3
  • DOI:10.37421/jcsb.2020.13.311
  • 语种:English
  • 出版社:OMICS Publishing Group
  • 摘要:This work deals with the problem of knowing a group of people that adequately responds to a specific treatment in order to classify community in groups is the objective. In the process to make this classification, a lot of work is necessary to analyze the results from the cluster analysis and obtain the minimal parameters that define a specific group that can be classified as treatment target. Also is presented the algorithm called Custom-clustering to solve this problem.
  • 关键词:Classification; Clustering; COVID-19
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