New results for hierarchical bimodal classification and partitioning

New results for hierarchical bimodal classification and partitioning

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Article ID: iaor20011595
Country: Cuba
Volume: 21
Issue: 3
Start Page Number: 247
End Page Number: 259
Publication Date: Sep 2000
Journal: Revista de Investigacin Operacional
Authors: ,
Keywords: neural networks
Abstract:

We present a study of the main methods for two-mode classification, hierarchical and partitioning. A Lance & Williams recurrence formula is proposed for hierarchical two-mode classification using the Eckes & Orlik criterion. Also, the simulated annealing technique is implemented for global optimization in two-mode partitioning, obtaining better results than usual methods like alternating exchanges and dynamic clusters or k-means.

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