dc.creatorJOSE ARTURO OLVERA LOPEZ
dc.creatorJESUS ARIEL CARRASCO OCHOA
dc.creatorJOSE FRANCISCO MARTINEZ TRINIDAD
dc.date2010
dc.date.accessioned2023-07-25T16:23:34Z
dc.date.available2023-07-25T16:23:34Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1392
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806588
dc.descriptionIn supervised classification, a training set T is given to a classifier for classifying new prototypes. In practice, not all information in T is useful for classifiers, therefore, it is convenient to discard irrelevant prototypes from T. This process is known as prototype selection, which is an important task for classifiers since through this process the time for classification or training could be reduced. In this work, we propose a new fast prototype selection method for large datasets, based on clustering, which selects border prototypes and some interior prototypes. Experimental results showing the performance of our method and comparing accuracy and runtimes against other prototype selection methods are reported.
dc.formatapplication/pdf
dc.languageeng
dc.publisherSpringer-Verlag London Limited
dc.relationcitation:Olvera-López, J.A., et al., (2010). A new fast prototype selection method based on clustering, Pattern Analysis and Applications, (13): 131–141
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Prototype selection/Prototype selection
dc.subjectinfo:eu-repo/classification/Supervised classification/Supervised classification
dc.subjectinfo:eu-repo/classification/Instance-based classifiers/Instance-based classifiers
dc.subjectinfo:eu-repo/classification/Border prototypes/Border prototypes
dc.subjectinfo:eu-repo/classification/Data reduction/Data reduction
dc.subjectinfo:eu-repo/classification/Clustering/Clustering
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleA new fast prototype selection method based on clustering
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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