Modified Learning Vector Quantification - MLVQ

Concept and definition

What is Modified Learning Vector Quantification - MLVQ?

It is an evolution of the LVQ algorithm

The LVQ3 algorithm does not cover the case in which both neurons to be updated belong to a different class than vector x. MLVQ considers these situations, so that:

If none of them belongs to the class of x, they are removed
If the nearest one has a different class, the second one moves closer or farther away depending on whether it has the same or different class.
If the nearest one has the same class and the second one has a different class, it only updates them if they fall within a set window.

Reference: Cheng-Lin Liu, In-Jung Eim, and Jin H Kim. High accuracy handwritten chinese character recognition by improved feature matching method.

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Modified Learning Vector Quantification - MLVQ

Concept and definition

What is Modified Learning Vector Quantification - MLVQ?

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