Learning vector quantization

Known as: LVQ

In computer science, learning vector quantization (LVQ), is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2006

We introduce some improvements to the dynamic learning vector quantization algorithm proposed by us for tackling the two major…

2006

2005

Along with wide application of e-mail nowadays, many spam e-mails flood into people's email inboxes and bring catastrophe to…

2004

Learning vector quantization networks are generally considered a powerful pattern recognition tool. Their main drawback, however…

2002

In this contribution we combine approaches the generalized leraning ve ctor quantization (GLVQ) with the neighborhood orientented…

1997

The connection between compression and the estimation of probability distributions has long been known for the case of discrete…

1995

A new classifier based on the Dempster-Shafer theory of evidence is presented. The approach consists in considering the…

1994

This paper proposes a fuzzy algorithm for learning vector quantization, which can train feature maps to function as pattern…

1992

Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate…

1990

It is shown that the learning vector quantization (LVQ) algorithm (T. Kohonen, 1986), converges to locally asymptotic stable…