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Weighted Mutual Information for Aggregated Kernel Clustering

Background: A common task in machine learning is clustering data into different groups based on similarities. Clustering methods can be divided in two groups: linear and nonlinear. A commonly used linear clustering method is K-means. Its extension, kernel K-means, is a non-linear technique that util...

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Detalles Bibliográficos
Autores principales: Kachouie, Nezamoddin N., Shutaywi, Meshal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516823/
https://www.ncbi.nlm.nih.gov/pubmed/33286125
http://dx.doi.org/10.3390/e22030351