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An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining
Clustering algorithms for multi-database mining (MDM) rely on computing [Formula: see text] pairwise similarities between n multiple databases to generate and evaluate [Formula: see text] candidate clusterings in order to select the ideal partitioning that optimizes a predefined goodness measure. Ho...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144976/ https://www.ncbi.nlm.nih.gov/pubmed/33947081 http://dx.doi.org/10.3390/e23050553 |