Journal Title
Title of Journal: J Classif
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Abbravation: Journal of Classification
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Authors: Michael J Brusco Patrick Doreian
Publish Date: 2015/09/26
Volume: 32, Issue: 3, Pages: 481-515
Abstract
Twomode partitioning applications are increasingly common in the physical and social sciences with a variety of models and methods spanning these applications Twomode KLmeans partitioning TMKLMP is one type of twomode partitioning model with a conceptual appeal that stems largely from the fact that it is a generalization of the ubiquitous onemode Kmeans clustering problem A number of heuristic methods have been proposed for TMKLMP ranging from a twomode version of the Kmeans heuristic to metaheuristic approaches based on simulated annealing genetic algorithms variable neighborhood search fuzzy steps and tabu search We present an exact algorithm for TMKLMP based on branchandbound programming and demonstrate its utility for the clustering of brand switching manufacturing cell formation and journal citation data Although the proposed branchandbound algorithm does not obviate the need for approximation methods for large twomode data sets it does provide a first step in the development of methods that afford a guarantee of globallyoptimal solutions for TMKLMP
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