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… (More)
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Highly Cited
2016
Highly Cited
2016
Prototype-based classifiers such as learning vector quantization (LVQ) often display intuitive and flexible classification and… (More)
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Highly Cited
2009
Highly Cited
2009
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an efficient prototype-based… (More)
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Highly Cited
2003
Highly Cited
2003
Learning vector quantization (LVQ) is a popular class of adaptive nearest prototype classifiers for multiclass classification… (More)
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2003
2003
This paper presents a batch competitive learning method called fuzzy-soft learning vector quantization (FSLVQ). The proposed… (More)
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Highly Cited
2002
Highly Cited
2002
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input… (More)
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2001
2001
This paper presents a cursive character recognizer embedded in an o€-line cursive script recognition system. The recognizer is… (More)
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Highly Cited
1999
Highly Cited
1999
The Self-Organizing Map (SOM) and Learning Vector Quantization (LVQ) algorithms are constructed in this work for variable-length… (More)
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Highly Cited
1996
Highly Cited
1996
Learning Vector Quantization (LVQ) is a group of algorithms applicable to statistical pattern recognition, in which the classes… (More)
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Highly Cited
1995
Highly Cited
1995
We propose a new learning method, "Generalized Learning Vector Quantization (GLVQ)," in which reference vectors are updated based… (More)
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Highly Cited
1991
Highly Cited
1991
A modified version of the PNN (probabilistic neural network) learning phase which allows a considerable simplification of network… (More)
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