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Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
Kernel spectral clustering corresponds to a weighted kernel principal component analysis problem in a constrained optimization framework. The primal formulation leads to an eigen-decomposition of a centered Laplacian matrix at the dual level. The dual formulation allows to build a model on a represe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065034/ https://www.ncbi.nlm.nih.gov/pubmed/24949877 http://dx.doi.org/10.1371/journal.pone.0099966 |