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Problem Decomposition and Data Reorganization by a Clustering Technique

Author

Listed:
  • William T. McCormick

    (Executive Office of the President and the US Atomic Energy Commission, Washington, D.C.)

  • Paul J. Schweitzer

    (The Technion—Israel Institute of Technology, Haifa, Israel)

  • Thomas W. White

    (The Urban Institute, Washington, D.C.)

Abstract

A new cluster-analysis method, the bond energy algorithm , has been developed recently; it operates upon a raw input object-object or object-attribute data array by permuting its rows and columns in order to find informative variable groups and their interrelations. This paper describes the algorithm and illustrates by several examples its use for both problem decomposition and data reorganization.

Suggested Citation

  • William T. McCormick & Paul J. Schweitzer & Thomas W. White, 1972. "Problem Decomposition and Data Reorganization by a Clustering Technique," Operations Research, INFORMS, vol. 20(5), pages 993-1009, October.
    • Handle: RePEc:inm:oropre:v:20:y:1972:i:5:p:993-1009
    DOI: 10.1287/opre.20.5.993
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