Adaptive Vector Quantization is a neural network technique in which the input vectors form a state space and the network quantizes those vectors into a smaller number of ideal vectors or regions.
The network adapts the placement (and quantity) of these
vectors to the data as it "learns."
Find Jai on Twitter | LinkedIn | Instagram
Be sure to refer to the complete & active AI Terms Glossary here.
You may also want to read more about Artificial Intelligence here.