Simultaneous features and objects selection for mixed and incomplete data

Yenny Villuendas-Rey; Milton Garcfa-Borroto; Miguel A. Medina-Pérez; José Ruiz-Shulcloper

doi:10.1007/11892755_62

Simultaneous features and objects selection for mixed and incomplete data

Yenny Villuendas-Rey, Milton Garcfa-Borroto, Miguel A. Medina-Pérez, José Ruiz-Shulcloper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper a new simultaneous editing and feature selection method for the Most Similar Neighbor classifier is proposed. It is designed for databases with objects described by features no exclusively numeric or categorical. It is based on Testor Theory and the Compact Set Editing method, mixing edited projections until a good accuracy is achieved. Experimental results with several databases show a good performance compared to previous methods and the classifier using the original sample.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
Publisher	Springer Verlag
Pages	597-605
Number of pages	9
ISBN (Print)	3540465561, 9783540465560
DOIs	https://doi.org/10.1007/11892755_62
State	Published - 2006
Externally published	Yes
Event	11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 - Cancun, Mexico Duration: 14 Nov 2006 → 17 Nov 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4225 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
Country/Territory	Mexico
City	Cancun
Period	14/11/06 → 17/11/06

Access to Document

10.1007/11892755_62

Cite this

Villuendas-Rey, Y., Garcfa-Borroto, M., Medina-Pérez, M. A., & Ruiz-Shulcloper, J. (2006). Simultaneous features and objects selection for mixed and incomplete data. In Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings (pp. 597-605). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4225 LNCS). Springer Verlag. https://doi.org/10.1007/11892755_62

Villuendas-Rey, Yenny ; Garcfa-Borroto, Milton ; Medina-Pérez, Miguel A. et al. / Simultaneous features and objects selection for mixed and incomplete data. Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings. Springer Verlag, 2006. pp. 597-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Simultaneous features and objects selection for mixed and incomplete data",

abstract = "In this paper a new simultaneous editing and feature selection method for the Most Similar Neighbor classifier is proposed. It is designed for databases with objects described by features no exclusively numeric or categorical. It is based on Testor Theory and the Compact Set Editing method, mixing edited projections until a good accuracy is achieved. Experimental results with several databases show a good performance compared to previous methods and the classifier using the original sample.",

author = "Yenny Villuendas-Rey and Milton Garcfa-Borroto and Medina-P{\'e}rez, {Miguel A.} and Jos{\'e} Ruiz-Shulcloper",

year = "2006",

doi = "10.1007/11892755_62",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings",

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Villuendas-Rey, Y, Garcfa-Borroto, M, Medina-Pérez, MA & Ruiz-Shulcloper, J 2006, Simultaneous features and objects selection for mixed and incomplete data. in Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4225 LNCS, Springer Verlag, pp. 597-605, 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, 14/11/06. https://doi.org/10.1007/11892755_62

Simultaneous features and objects selection for mixed and incomplete data. / Villuendas-Rey, Yenny; Garcfa-Borroto, Milton; Medina-Pérez, Miguel A. et al.
Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings. Springer Verlag, 2006. p. 597-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4225 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Villuendas-Rey Y, Garcfa-Borroto M, Medina-Pérez MA, Ruiz-Shulcloper J. Simultaneous features and objects selection for mixed and incomplete data. In Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings. Springer Verlag. 2006. p. 597-605. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11892755_62

Simultaneous features and objects selection for mixed and incomplete data

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