• Title of article

    CVAP: VALIDATION FOR CLUSTER ANALYSES

  • Author/Authors

    Kaijun Wang، نويسنده , , Baijie Wang، نويسنده , , and Liuqing Peng، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    6
  • From page
    88
  • To page
    93
  • Abstract
    Evaluation of clustering results (or cluster validation) is an important and necessary step in cluster analysis, but it is often time-consuming and complicated work. We present a visual cluster validation tool, the Cluster Validity Analysis Platform (CVAP), to facilitate cluster validation. The CVAP provides necessary methods (e.g., many validity indices, several clustering algorithms and procedures) and an analysis environment for clustering, evaluation of clustering results, estimation of the number of clusters, and performance comparison among different clustering algorithms. It can help users accomplish their clustering tasks faster and easier and help achieve good clustering quality when there is little prior knowledge about the cluster structure of a data set.
  • Keywords
    cluster validation , Validity indices , Visual cluster analysis environment
  • Journal title
    Data Science Journal
  • Serial Year
    2009
  • Journal title
    Data Science Journal
  • Record number

    679584