LINEX K-Means: Clustering by an Asymmetric Dissimilarity Measure
Clustering is a well-known approach in data mining, which is used to separate data without being labeled. Some clustering methods are more popular such as the k-means. In all clustering techniques, the cluster centers must be found that help to determine which object is belonged to which cluster by...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2018-03-01
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| Col·lecció: | Journal of Statistical Theory and Applications (JSTA) |
| Matèries: | |
| Accés en línia: | https://www.atlantis-press.com/article/25894611/view |
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