A review of learning vector quantization classifiers

September 23, 2015 · The Cartographer · 🏛 Neural computing & applications (Print)

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Survey/review paper — maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A review of learning vector quantization classifiers"

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Authors David Nova, Pablo A. Estevez arXiv ID 1509.07093 Category cs.LG: Machine Learning Cross-listed astro-ph.IM, cs.NE, stat.ML Citations 128 Venue Neural computing & applications (Print) Last Checked 8 days ago
Abstract
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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