Pattern Recognition Lecture Notes

 

 

 

Matlab code

Lecture 1(Introduction to pattern recognition)

 

 

Lecture 2(Parzen windows)

par.m

Lecture 3 (Probabilistic neural networks)

pnn.m, pnn2D.m

Lecture 4(The nearest neighbour classifiers)

nn.m,knn.m

Lecture 5 (Linear discriminant analysis)

 

 

Lecture 6 (Radial basis function (RBF) neural networks)

sinEX.m

Lecture 7 (RBF classifier)

 

RBFCex.m, RBFCexF.m

Lecture 8 (RBF center selection and k-means clustering)

kmeans.m,†† kms.m,kmsRBF.m

Lecture 9 (Kohonenís self-organizing feature map)

kn_demo.m, kn_demo2.m

kn_learn.m, kn_output.m