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Clustering Mixed Data Based on Density Peaks and Stacked Denoising Autoencoders
With the universal existence of mixed data with numerical and categorical attributes in real world, a variety of clustering algorithms have been developed to discover the potential information hidden in mixed data. Most existing clustering algorithms often compute the distances or similarities betwe...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2019-02-01
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| Colecção: | Symmetry |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2073-8994/11/2/163 |
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