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Similarity Measure Design on Big Data

  • Sanghyuk Lee
  • Yan Sun
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)

Abstract

Clustering algorithm in big data was designed, and its idea was based on defining similarity measure. Traditional similarity measure on overlapped data was illustrated, and application to non-overlapped data was carried out. Similarity measure on high dimension data was obtained through getting information from neighbor data. Its usefulness was proved, and verified by calculation of similarity for artificial data example.

Keywords

Similarity measure Big data Neighbor information High dimension data 

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Electrical and Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina
  2. 2.School of Business Economic and ManagementXi’an Jiaotong-Liverpool UniversitySuzhouChina

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