Clustering problems in optimization models
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We discuss a variety of clustering problems arising in combinatorial applications and in classifying objects into homogenous groups. For each problem we discuss solution strategies that work well in practice. We also discuss the importance of careful modelling in clustering problems.
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- Clustering problems in optimization models
Volume 9, Issue 3 , pp 229-239
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- Combinatorial optimization
- classifying objects
- classification criteria
- Industry Sectors
- Author Affiliations
- 1. Business School, University of New Brunswick, E3A 1K8, Fredericton, New Brunswick, Canada
- 2. Dep. of IOE, Univ. of Michigan, 48109-2117, Ann Arbor, MI, USA
- 3. Hong Kong, University of Science and Technology, Hongkong
- 4. Dep. of Quantitative Methods, Univesity of Siena, p.zza San Francesco, 53100, Siena, Italy