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Problem Decomposition and Data Reorganization by a Clustering Technique
Operations Research · 1972 · Vol. 20(5) · pp. 993–1009
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.
Advanced Manufacturing and Logistics OptimizationOptimization and Packing ProblemsManufacturing Process and OptimizationDecompositionComputer scienceRowCluster analysisRaw dataObject (grammar)Variable (mathematics)Row and column spacesCluster (spacecraft)Algorithm
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