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  • 标题:A Cluster Based Distance Bounding for High Dimensional Indexing
  • 本地全文:下载
  • 作者:A Cluster Based Distance Bounding for High Dimensional Indexing+Pages : 4486 - 4490P. Sandeep Reddy ; G. Sridhar Reddy
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2012
  • 卷号:3
  • 期号:3
  • 页码:4486-4490
  • 出版社:TechScience Publications
  • 摘要:Clustering is one of the important aspect in data mining. Clustering means similar group of objects. VA-file is a technique to combat the curse of dimensionality and hence necessarily ignores dependencies across dimensions. Existing methods to prune irrelevant clusters are based on bounding hyper spheres or bounding rectangles, whose lack of tightness compromises their efficiency in exact nearest neighbor search. A new cluster-adaptive distance bound based on separating hyper plane boundaries of Voronoi clusters is to complement our cluster based index We propose indexing method to enhance data search and data retrieval.
  • 关键词:Multimedia databases; indexing methods; similarity;measures; clustering; image databases.
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