Automatic Labeling of Text Document Clusters using Singular Value Decomposition
作者: Bharathi K.S Dr. Asha T
刊名: Journal of Computer - JoC, 2016, Vol.1 (2)
来源数据库: Journal of Computer
关键词: Clusteringforensic domaintext mining
原始语种摘要: Analysis of text documents is difficult due to unstructured information it contains. Clustering of these documents helps to improve analysis under consideration. Most widely used text mining methods such as partitional algorithm k-means and hierarchical clustering methods based on linkage criterion such as single link, average link and complete link are used in this paper. The clusters are then labeled by using singular value decomposition method in a mathematical way. The labeling of the clusters makes the analyst job easier by quick capture of the cluster summary on the screen. Relative validity index is used to determine the efficiency of clustering process. It is used for estimation of number of clusters at which the process is efficient. Cluster analysis is very useful for forensic...
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  • link 通信信道
  • hierarchical 分级
  • clustering 聚类
  • singular 奇异的
  • documents 单据
  • efficient 有用的
  • mathematical 数学的
  • digital 数字的
  • criterion 准则
  • information 报告