Mixed integer linear programming and heuristic methods for feature selection in clustering
Author:
Affiliation:
1. School of International Studies, University of Trento, Trento, Italy.
2. School of Mathematics, The University of Edinburgh, Edinburgh, UK.
3. Institute of Mathematics of the University of Seville (IMUS), Universidad de Sevilla, Sevilla, Spain.
Funder
Fundación Séneca
Ministero dell'Istruzione, dell'Università e della Ricerca
Spanish Ministry of Economy and Competitiveness
Sergio Garcia by the Fundacion Seneca
Fundaci?n S?neca
Fundaci\'{o
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2017.1398206
Reference47 articles.
1. Data aggregation for p-median problems
2. Variable Selection for Clustering and Classification
3. An aggregation heuristic for large scale p-median problem
4. Computational study of large-scale p-Median problems
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