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Hierarchical Information Clustering by Means of Topologically Embedded Graphs
We introduce a graph-theoretic approach to extract clusters and hierarchies in complex data-sets in an unsupervised and deterministic manner, without the use of any prior information. This is achieved by building topologically embedded networks containing the subset of most significant links and ana...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3302882/ https://www.ncbi.nlm.nih.gov/pubmed/22427814 http://dx.doi.org/10.1371/journal.pone.0031929 |