In this paper a novel fuzzy cluster analysis algorithm based on simulated annealing (FCASA) is proposed. Instead of the perturbation criterion of the literature in which membership grades of several samples may be changed simultaneously in each perturbation or perhaps each sample has unequal probabi
Cluster analysis by the K-means algorithm and simulated annealing
โ Scribed by Li-Xian Sun; Fen Xu; Yi-Zeng Liang; Yu-Long Xie; Ru-Qin Yu
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 874 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0169-7439
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