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:

5 examples of AI where it is applied in your daily life

We often wonder what examples of AI we can find in our environment, and the fact is that artificial intelligence is a concept that in English has [...]

The financial sector is constantly implementing new technologies to modernize and digitize its functions. One of the reasons for this is the processing of [...]

How to increase a company's sales

All businesses usually plan for annual growth, although not all of them achieve it. Increasing the sales of a company in 2022 is [...]

Typically, Machine Learning is used to solve business problems in various sectors and areas where different algorithms are applied.

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