Repositorio de producción científica de la Universidad de Sevilla

Mixed integer linear programming and heuristic methods for feature selection in clustering

 

Advanced Search
 
Opened Access Mixed integer linear programming and heuristic methods for feature selection in clustering
Cites

Show item statistics
Icon
Export to
Author: Benati, Stefano
García Quiles, Sergio
Puerto Albandoz, Justo
Department: Universidad de Sevilla. Departamento de Estadística e Investigación Operativa
Date: 2018
Published in: Journal of the Operational Research Society, 1-17.
Document type: Article
Abstract: This paper studies the problem of selecting relevant features in clustering problems, out of a data set in which many features are useless, or masking. The data set comprises a set U of units, a set V of features, a set R of (tentative) cluster cent...
[See more]
Size: 274.4Kb
Format: PDF

URI: https://hdl.handle.net/11441/69808

DOI: 10.1080/01605682.2017.1398206

See editor´s version

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

This item appears in the following Collection(s)