| Título |
Clustering Time Series by Wavelet and Evolutionary Computing |
| Tipo |
Revista |
| Sub-tipo |
Memoria |
| Descripción |
Research in Computing Science |
| Resumen |
The classification of information can take various hues, depending on the approach to be peformed [1], howevwr to achieve classification is one of the most important tasks of computational |
| Observaciones |
Paper Recived 13-09-2013 and Acepted 21-10-2013 ** Drive: Clustering-time_2013 |
| Lugar |
Distrito Federal |
| País |
Mexico |
| No. de páginas |
33–44 |
| Vol. / Cap. |
63 |
| Inicio |
2013-11-01 |
| Fin |
|
| ISBN/ISSN |
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