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ISOMAP based metrics for clustering
Many successful clustering techniques fail to handle data with a manifold structure, i.e. data that is notshaped in the form of compact point clouds, forming arbitrary shapes or paths through a high-dimensionalspace. In this paper we present a new method to evaluate distances in such spaces that nat...
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| Publicado no: | Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Asociación Española para la Inteligencia Artificial
2008
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=92503703 |
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