Feature selection in dynamic clustering with applications to crime and business analytics

Weber, Richard; Maldonado, SebastiÁn Alejandro

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
Programa: Fondecyt
Año de Inicio/Término: 2014-2017
Financiamiento/Sponsor: CONICYT-Fondecyt
Rol del Usuario: Investigador Principal
DOI:

1140831