2016
DOI: 10.21609/jiki.v9i1.362
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Web News Documents Clustering in Indonesian Language Using Singular Value Decomposition-Principal Component Analysis (Svdpca) and Ant Algorithms

Abstract: Ant-based document clustering is a cluster method of measuring text documents similarity based on the shortest path between nodes (trial phase) and determines the optimal clusters of sequence document similarity (dividing phase). The processing time of trial phase Ant algorithms to make document vectors is very long because of high dimensional Document-Term Matrix (DTM). In this paper, we proposed a document clustering method for optimizing dimension reduction using Singular Value Decomposition-Principal Compo… Show more

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