Mixed data object selection based on clustering and border objects

J. Arturo Olvera-López, J. Francisco Martínez-Trinidad, J. Ariel Carrasco-Ochoa

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

4 Citations (Scopus)

Abstract

In supervised classification, the object selection or instance selection is an important task, mainly for instance-based classifiers since through this process the time in training and classification stages could be reduced. In this work, we propose a new mixed data object selection method based on clustering and border objects. We carried out an experimental comparison between our method and other object selection methods using some mixed data classifiers. © Springer-Verlag Berlin Heidelberg 2007.
Original languageAmerican English
Title of host publicationMixed data object selection based on clustering and border objects
Pages674-683
Number of pages605
ISBN (Electronic)9783540767244
StatePublished - 1 Dec 2007
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4756 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Mixed Data
Classifiers
Clustering
Classifier
Supervised Classification
Object

Cite this

Olvera-López, J. A., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A. (2007). Mixed data object selection based on clustering and border objects. In Mixed data object selection based on clustering and border objects (pp. 674-683). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4756 LNCS).
Olvera-López, J. Arturo ; Martínez-Trinidad, J. Francisco ; Carrasco-Ochoa, J. Ariel. / Mixed data object selection based on clustering and border objects. Mixed data object selection based on clustering and border objects. 2007. pp. 674-683 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Olvera-López, JA, Martínez-Trinidad, JF & Carrasco-Ochoa, JA 2007, Mixed data object selection based on clustering and border objects. in Mixed data object selection based on clustering and border objects. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4756 LNCS, pp. 674-683, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14.

Mixed data object selection based on clustering and border objects. / Olvera-López, J. Arturo; Martínez-Trinidad, J. Francisco; Carrasco-Ochoa, J. Ariel.

Mixed data object selection based on clustering and border objects. 2007. p. 674-683 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4756 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

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Olvera-López JA, Martínez-Trinidad JF, Carrasco-Ochoa JA. Mixed data object selection based on clustering and border objects. In Mixed data object selection based on clustering and border objects. 2007. p. 674-683. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).