On Set Covering Based on Biclustering

Antiopi Panteli (), Basilis Boutsinas () and Ioannis Giannikos ()
Additional contact information
Antiopi Panteli: Department of Business Administration, MIS & Business Intelligence Lab, University of Patras Rio, 26500, Greece
Basilis Boutsinas: Department of Business Administration, MIS & Business Intelligence Lab, University of Patras Rio, 26500, Greece
Ioannis Giannikos: Department of Business Administration, Laboratory of Research and Tourism Satellite Accounts, University of Patras Rio, 26500, Greece

International Journal of Information Technology & Decision Making (IJITDM), 2014, vol. 13, issue 05, 1029-1049

Abstract: In this paper, we present a clustering heuristic for solving demand covering models where the objective is to determine locations for servers that optimally cover a given set of demand points. This heuristic is based on the concept of biclusters and processes the set of demand points as well as the set of potential servers and determines biclusters that result in smaller problems. Given a coverage matrix, a bicluster is defined as a sub-matrix spanned by both a subset of rows and a subset of columns, such that rows are the most similar to each other when compared over columns. The algorithm starts by using any biclustering algorithm in order to identify appropriate biclusters of the coverage matrix and then combines selected biclusters to define an aggregate solution to the original problem. The algorithm can be easily adapted to address a whole family of covering problems including set covering, maximal covering and backup covering problems. The proposed algorithm is tested in a series of widely known test datasets for various such problems. The main objective of this paper is to introduce the concept of biclustering as an efficient and effective approach to tackle covering problems and to stimulate further research in this area.

Keywords: Set covering; biclustering; clustering; 90B50; 90C05; 62H30; 68T10 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622014500692
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:13:y:2014:i:05:n:s0219622014500692

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622014500692

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().