The original ant system algorithm is simplified leading to a generalized ant colony optimization algorithm that can be used to solve a wide variety of discrete optimization problems. It is shown how objective function based clustering models such as hard and fuzzy c-means can be optimized using part
Clustering problems in optimization models
β Scribed by Santosh Kabadi; Katta G. Murty; Cosimo Spera
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Weight
- 585 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1572-9974
No coin nor oath required. For personal study only.
β¦ Synopsis
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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