• DocumentCode
    1107355
  • Title

    Comments on "A Nonlinear Mapping for Data Structure Analysis"

  • Author

    Kruskal, J.B.

  • Issue
    12
  • fYear
    1971
  • Firstpage
    1614
  • Lastpage
    1614
  • Abstract
    A recent paper by Sammon1 describes a useful technique for analyzing data and helping find clusters. It consists of a nonlinear mapping of the original data into two dimensions (for visual inspection) which is superior for many purposes to use of the first two principal components. The present correspondence points out that essentially the same mapping can be achieved by a widely used, easily obtainable computer propram for multidimensional scaling called M-D-SCAL.
  • Keywords
    Algorithms; Boolean functions; Data analysis; Data structures; Distributed computing; Inspection; Minimization methods; Multidimensional systems; Polynomials; Psychology;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1971.223184
  • Filename
    1671777
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1107355