A bi-tour ant colony optimisation framework for vertical partitions

Chun Hung Cheng, Angappa Gunasekaran, Kwan Ho Woo

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)341-356
Number of pages16
JournalInternational Journal of Industrial and Systems Engineering
Volume7
Issue number3
DOIs
StatePublished - Mar 2011

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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