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In this article Xiaobian introduces in detail "what is the method of matlab vector quantization network classification", the content is detailed, the steps are clear, and the details are handled properly. I hope this article "what is the method of matlab vector quantization network classification" can help you solve your doubts.

Lvqnet is the creation function of learning vector quantization network to solve supervised classification problems.

[XMagi t] = iris_dataset

% load data, x is the input sample, t is the expected output

Rng (0)

Ri=randperm (150)

% partition training and test set

X1roomx (:, ri (1:50))

T1 ri (:, T1 (1:50))

X2roomx (:, ri (51Plus 150))

T2roomt (:, ri (51lav 150))

Net = lvqnet (20)

% create a network for training

Net = train (net,x1,t1)

Y = net (x2)

% Test

Yy=vec2ind (y)

Ty=vec2ind (T2)

Sum (yy==ty) / length (yy)

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