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A comparative study of codification techniques for clustering heart disease database

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A comparative study of codification techniques for clustering heart disease database

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Barceló Rico, F.; Diez Ruano, JL.; Bondía Company, J. (2011). A comparative study of codification techniques for clustering heart disease database. Biomedical Signal Processing and Control. 6(1):64-69. doi:10.1016/j.bspc.2010.07.004

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Title: A comparative study of codification techniques for clustering heart disease database
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Issued date:
Abstract:
[EN] This paper compares various proposals for codifying categorical attributes in a heart disease database so that numerical clustering algorithms can be applied to them. An approach for the codification of categorical ...[+]
Subjects: Biomedical signal processing , Mixed data , Clustering , K-means , Data conversion , Heart disease
Copyrigths: Cerrado
Source:
Biomedical Signal Processing and Control. (issn: 1746-8094 )
DOI: 10.1016/j.bspc.2010.07.004
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.bspc.2010.07.004
Conference name: 7th Symposium on Modelling and Control in Biomedical Systems
Conference place: Aalborg, Denmark
Conference date: August 12-14, 2009
Thanks:
Partially supported by national project DPI2007-66728-C02-01, regional project GVPRE-2008-108, and the authors’ institution.
Type: Artículo Comunicación en congreso

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