Abstract Machine learning models always make a prediction, even when it is likely to be
inaccurate. This behavior should be avoided in many decision support applications, where …

The sklvq package is an open-source Python implementation of a set of learning vector
quantization (LVQ) algorithms. In addition to providing the core functionality for the GLVQ …

University of Groningen Learning Vector Quantization with Applications in Neuroimaging and
Biomedicine van Veen, Rick Page 1 University of Groningen Learning Vector Quantization with …

Learning vector quantization (LVQ) constitutes a very popular machine learning technology
with applications, for example, in biomedical data analysis, predictive maintenance/quality …

The Internet of Things and the reduced cost of data acquisition have led to an increasing
amount of products with connectivity capabilities. Such products are both oriented to …