The World of Music: SDP layout of high dimensional data

نویسندگان

  • David Gleich
  • Matt Rasmussen
  • Leonid Zhukov
  • Kevin Lang
چکیده

In this paper we investigate the use of Semidefinite Programming (SDP) optimization for high dimensional data layout and graph visualization. We developed a set of interactive visualization tools and used them on music artist ratings data from Yahoo!. The computed layout preserves a natural grouping of the artists and provides visual assistance for browsing large music collections. CR Categories: I.3.3 [Computer Graphics]: Picture/Image Generation Display Algorithms I.5.3 [Pattern Recognition]: Clustering similarity measures

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تاریخ انتشار 2005