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...

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Detalles Bibliográficos
Autores principales: Miloudi, Salim, Wang, Yulin, Ding, Wenjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144976/
https://www.ncbi.nlm.nih.gov/pubmed/33947081
http://dx.doi.org/10.3390/e23050553

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