July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Learning vector quantization
Learning Vector Quantization (LVQ) is another special type of a dynamic ANN. SOMs, which we will discuss in a moment, are a by-product of LVQ networks. This type of network implements a competitive type of algorithm in which the winning neuron gains the weight. These types of networks are used in many different applications and are considered to be more natural and intuitive than some other ANNs. In particular, LVQ is effective for classification of text-based data.
The basic algorithm begins by setting the number of neurons, the weight for each neuron, how fast the neurons can learn, and a list of input vectors. In this context, a vector is similar to a vector in physics and represents the values provided to ...
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