All Title Author
Keywords Abstract


A review of learning vector quantization classifiers

DOI: 10.1007/s00521-013-1535-3

Full-Text   Cite this paper   Add to My Lib

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.

Full-Text

comments powered by Disqus