Volume 37 Issue 7
Jul.  2012
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XIE Mingxia, WANG Jiayao, GUO Jianzhong, CHEN Ke. Similarity Measurement in High Dimensional Space Based on Unequally Spaced Partition[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 780-783.
Citation: XIE Mingxia, WANG Jiayao, GUO Jianzhong, CHEN Ke. Similarity Measurement in High Dimensional Space Based on Unequally Spaced Partition[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 780-783.
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Similarity Measurement in High Dimensional Space Based on Unequally Spaced Partition

  • 1 Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China;2 75719 Troop,Wuhan 430074,China

Funds: 国家863计划资助项目(2009AA12Z228);;数字制图与国土信息应用工程国家测绘地理信息局重点实验室开放研究基金资助项目(GCWD201105)
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  • Received Date: April 23, 2012
  • Published Date: July 04, 2012
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  • Because of the curse of dimensionality,the traditional similarity measurement has been unfit for the high dimensional space.And the equally spaced partition can't represent the data distribution,so the similarity measurement based on that can't compute the similarity between high dimensional data reasonably.Aimed at these problems,the existing improved similarity measurements for high dimensional space are introduced firstly,and the problems are analyzed.Then,improves the similarity measurement PIDist(X,Y,kd) based on unequally spaced partition of each dimension.Finally,the experimental result of clustering heart-statlog and vehicle data sets provided by UCI proves the validity of the proposed similarity measurement.
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