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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… 
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AlgorithmArtificial neural networkBranch predictorComputer science

Papers overview

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2008
2008
Dual Weight Learning Vector Quantization
A new learning vector quantization (LVQ) approach, so-called dual weight learning vector quantization (DWLVQ), is presented in… 
2006
2006
Application of LVQ to novelty detection using outlier training data
2006
2006
Improving Dynamic Learning Vector Quantization
We introduce some improvements to the dynamic learning vector quantization algorithm proposed by us for tackling the two major… 
2005
2005
Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization
The fuzzy c-means (FCM) is sensitive to noise or outliers because this method has the probabilistic constraint that the… 
2005
2005
A LVQ-based neural network anti-spam email approach
Along with wide application of e-mail nowadays, many spam e-mails flood into people's email inboxes and bring catastrophe to… 
2002
2002
Supervised Neural Gas for Learning Vector Quantization
In this contribution we combine approaches the generalized leraning ve ctor quantization (GLVQ) with the neighborhood orientented… 
1998
1998
A three-dimensional neural network model for unconstrained handwritten numeral recognition: a new approach
1997
1997
Vector quantization and density estimation
  • R. GrayR. Olshen
  • Proceedings. Compression and Complexity of…
  • 1997
  • Corpus ID: 14716061
The connection between compression and the estimation of probability distributions has long been known for the case of discrete… 
1994
1994
A fuzzy algorithm for learning vector quantization
This paper proposes a fuzzy algorithm for learning vector quantization, which can train feature maps to function as pattern… 
1992
1992
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate… 
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