Learning Vector Quantization

A Learning Vector Quantization is a prototype-based supervised classification algorithm.

• See: Vector Quantization, Prototype, Supervised Learning, Statistical Classification.

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References

2015

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/Learning_vector_quantization Retrieved:2015-10-23.
  • In computer science, learning vector quantization (LVQ), is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart of vector quantization systems.

2011

• (Sammut & Webb, 2011) ⇒ Claude Sammut, and Geoffrey I. Webb. (2011). “Learning Vector Quantization.” In: (Sammut & Webb, 2011) p.594

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