| Autor: |
Ordin, Burak, Bagirov, Adil, Mohebi, Ehsan |
| Předmět: |
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| Zdroj: |
Journal of Industrial & Management Optimization; Nov2020, Vol. 16 Issue 6, p2757-2779, 23p |
| Abstrakt: |
An algorithm is developed for solving clustering problems with the similarity measure defined using the L1 and L∞ norms. It is based on an incremental approach and applies nonsmooth optimization methods to find cluster centers. Computational results on 12 data sets are reported and the proposed algorithm is compared with the X-means algorithm. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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