Closely related to VQ and SOM is Learning Vector Quantization (LVQ). This name signifies
a class of related algorithms, such as LVQ1, LVQ2, LVQ3, and OLVQ1. While VQ and the …

The author introduces a variant of (supervised) learning vector quantization (LVQ) and
discusses practical problems associated with the application of the algorithms. The LVQ …

Learning vector quantization (LVQ) is a popular class of adaptive nearest prototype classifiers
for multiclass classification, but learning algorithms from this family have so far been …

Prototype-based methods often display very intuitive classification and learning rules.
However, popular prototype based classifiers such as learning vector quantization (LVQ) are …

Closely related to VQ and SOM is Learning Vector Quantization (LVQ). This name signifies
a class of related algorithms, such as LVQ1, LVQ2, LVQ3, and OLVQ1. While VQ and the …

We propose a new learning method," Generalized Learning Vec (cid: 173) tor Quantization (GLVQ),"
in which reference vectors are updated based on the steepest descent method in …

… 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 …

… learning vector quantization classifiers as one of the most intuitive prototype based classification
models. Recent extensions and modifications of the basic learning vector quantization …

… We propose a new matrix learning scheme to extend relevance learning vector quantization
(… The algorithm is tested in comparison to alternative learning vector quantization schemes …

… In this overview article we summarized recent developments in prototype based learning
vector quantization for classification learning. Particularly, we show that the basic but …