A review of learning vector quantization classifiers

arxiv: 1509.07093 · v1 · pith:43Q5UV3Fnew · submitted 2015-09-23 · 💻 cs.LG · astro-ph.IM· cs.NE· stat.ML

A review of learning vector quantization classifiers

David Nova , Pablo A. Estevez This is my paper

classification 💻 cs.LG astro-ph.IMcs.NEstat.ML

keywords classifiersapproacheslearningquantizationreviewvectorartificialassociated

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In this work we present a review of the state of the art of Learning Vector Quantization (LVQ) classifiers. A taxonomy is proposed which integrates the most relevant LVQ approaches to date. The main concepts associated with modern LVQ approaches are defined. A comparison is made among eleven LVQ classifiers using one real-world and two artificial datasets.

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A review of learning vector quantization classifiers

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