Optimized data fusion for K-means Laplacian clustering

Motivation: We propose a novel algorithm to combine multiple kernels and Laplacians for clustering analysis. The new algorithm is formulated on a Rayleigh quotient objective function and is solved as a bi-level alternating minimization procedure. Using the proposed algorithm, the coefficients of ker...

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Detalles Bibliográficos
Autores principales: Yu, Shi, Liu, Xinhai, Tranchevent, Léon-Charles, Glänzel, Wolfgang, Suykens, Johan A. K., De Moor, Bart, Moreau, Yves
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3008636/
https://www.ncbi.nlm.nih.gov/pubmed/20980271
http://dx.doi.org/10.1093/bioinformatics/btq569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3008636/
https://www.ncbi.nlm.nih.gov/pubmed/20980271
http://dx.doi.org/10.1093/bioinformatics/btq569

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