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An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering
Although within-cluster information is commonly used in most clustering approaches, other important information such as between-cluster information is rarely considered in some cases. Hence, in this study, we propose a new novel measure of between-cluster distance in subspace, which is to maximize t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515186/ https://www.ncbi.nlm.nih.gov/pubmed/33267397 http://dx.doi.org/10.3390/e21070683 |