Extracting insights from the shape of complex data using topology

This paper applies topological methods to study complex high dimensional data sets by extracting shapes (patterns) and obtaining insights about them. Our method combines the best features of existing standard methodologies such as principal component and cluster analyses to provide a geometric repre...

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Detalles Bibliográficos
Autores principales: Lum, P. Y., Singh, G., Lehman, A., Ishkanov, T., Vejdemo-Johansson, M., Alagappan, M., Carlsson, J., Carlsson, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566620/
https://www.ncbi.nlm.nih.gov/pubmed/23393618
http://dx.doi.org/10.1038/srep01236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566620/
https://www.ncbi.nlm.nih.gov/pubmed/23393618
http://dx.doi.org/10.1038/srep01236

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