Feature selection in dynamic clustering with applications to crime and business analytics
Más información
Fecha de publicación: | 2014 |
Objetivos: | Develop methods for feature selection in dynamic clustering. Develop methods for feature selection in static clustering. Develop techniques for uncertainty modeling and feature selection in dynamic clustering. Show that the developed techniques provide useful results in two different applications |
Instrumento: | Fondecyt |
Año de Inicio/Término: | 2014-2017 |
Financiamiento/Sponsor: | CONICYT-Fondecyt |
Rol del Usuario: | Investigador Principal |
DOI: |
1140831 |