Which is NOT true of learning vector quantization (LVQ) models?
A) LVQ is a type of artificial neural network methodology.
B) LVQ can handle both classification and regression problems.
C) LVQ requires supervised learning.
D) The researcher can set the learning rate of the LVQ algorithm.

Question

Quizplus · Accepted Answer

LVQ is for classification and not regression problems. It can classify binary and categorical outcome variables with multiple levels. "Supervised" means that the researcher must input a set of training patterns (data rows) for which the value of the output variable to be classified is known. The amount of the adjustment in a given iteration is determined by the "learning rate", which the researcher may set.

Which Is NOT True of Learning Vector Quantization (LVQ) Models