A clustering algorithm based on fitness probability scores for cluster centers optimization
In the present paper, we propose an iterative clustering approach that sequentially applies five processes, namely: the assign, delete, split, delete and optimization. It is based on the fitness probability scores of the cluster centers to identify the least fitted centers to undergo an optimization...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | https://hdl.handle.net/1822/78176 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/78176 |