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文章基本信息

  • 标题:Optimization and Scalable Constrained Clustering Performances
  • 本地全文:下载
  • 作者:R. Nagaraj ; V. Thiagarasu ; B. Jeevithapriya
  • 期刊名称:Indian Journal of Innovations and Developments
  • 印刷版ISSN:2277-5382
  • 电子版ISSN:2277-5390
  • 出版年度:2015
  • 卷号:4
  • 期号:7
  • 页码:1-7
  • 语种:English
  • 出版社:Indian Society for Education and Environment
  • 摘要:Objectives: To achieve the accuracy of clustering performances higher and to optimize the scalable approaches. Methods: Constrained spectral clustering and optimization algorithms are used to analyze and evaluate the large dataset. It is used to produce quality of clustering results. Findings: The proposed method achieves high performance in terms of precision, recall and accuracy. Application/Improvements: The proposed system is done by using optimization algorithm and pairwise constraints concepts. The optimization algorithm is used to increase the clustering accuracy and produce more optimal performances.
  • 其他摘要:Objectives: To achieve the accuracy of clustering performances higher and to optimize the scalable approaches. Methods: Constrained spectral clustering and optimization algorithms are used to analyze and evaluate the large dataset. It is used to produce quality of clustering results. Findings: The proposed method achieves high performance in terms of precision, recall and accuracy. Application/Improvements: The proposed system is done by using optimization algorithm and pairwise constraints concepts. The optimization algorithm is used to increase the clustering accuracy and produce more optimal performances.
  • 关键词:Constrained Spectral Clustering; Scalability and Optimization.
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