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A bi-tour ant colony optimisation framework for vertical partitions

Author

Listed:
  • Chun-Hung Cheng
  • Angappa Gunasekaran
  • Kwan-Ho Woo

Abstract

Clustering refers to a process of grouping together similar objects while separating out the dissimilar objects. In this work, we consider block clustering in vertical partitioning. Block clustering is a specific clustering method, which clusters the sets of objects and their associated attributes (descriptors) together, simultaneously, in a solution matrix. For this specific problem we propose using a bi-tour ant colony optimisation. To show the quality of the new proposed approach, we conduct an extensive computational study and show that our method is performed better than some traditional clustering methods, such as genetic algorithms and average linkage clustering.

Suggested Citation

  • Chun-Hung Cheng & Angappa Gunasekaran & Kwan-Ho Woo, 2011. "A bi-tour ant colony optimisation framework for vertical partitions," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 7(3), pages 341-356.
    • Handle: RePEc:ids:ijisen:v:7:y:2011:i:3:p:341-356
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