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.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.

Fill the form

Share:

AI in banking: how Artificial Intelligence is used in banks

In the digital age in which we live, artificial intelligence (AI) has emerged as a disruptive force in numerous industries, and the banking sector has been [...]

More and more companies are taking advantage of the relevant information they extract from the data they possess and generate to improve their processes and discover new ways to [...]

In today's oversaturated information market, it is becoming increasingly difficult to retain users. For companies, competition is increasingly [...]

Artificial intelligence (AI) and machine learning (ML) are two of the most popular technologies used to build intelligent systems for the [...]

See more entries

Modified Learning Vector Quantification - MLVQ

Concept and definition

What is Modified Learning Vector Quantification - MLVQ?

Do you want to get in touch?

This site uses cookies

Cookie preferences