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  • 标题:A Survey of Different Issue of Different clustering Algorithms Used in Large Data sets
  • 本地全文:下载
  • 作者:M.Vijayalakshmi ; M.Renuka Devi
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:3
  • 出版社:S.S. Mishra
  • 摘要:Data mining is the process of extracting patterns from data. Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. It is currently used in a wide range of profiling practices, such as marketing, surveillance, fraud detection, and scientific discovery. This paper gives an overview of different clustering algorithms used in large data sets. It describes about the general working behavior, and the methodologies followed on these approaches and the parameters which used in these algorithms with large data sets
  • 关键词:Clustering; Supervised Learning; Unsupervised Learning Hierarchical Clustering; K-Mean Clustering Algorithm; Density ;Based Clustering Algorithm
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