Kernel Kmeans

버전 1.8.0.0 (4.1 KB) 작성자: Mo Chen
kernel kmeans algorithm

다운로드 수: 6.8K

업데이트 날짜: 2017/3/11

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This function performs kernel kmeans algorithm. When the linear kernel (i.e., inner product) is used, the algorithm is equivalent to standard kmeans algorithm. Several nonlinear kernel functions are also provided. Upon request, I also include a prediction function for out-of-sample inference. Please try following code for a demo:
clear; close all;
d = 2;
k = 3;
n = 500;
[X,label] = kmeansRnd(d,k,n);
init = ceil(k*rand(1,n));
[y,mse,model] = knKmeans(X,init,@knLin);
plotClass(X,y)
idx = 1:2:n;
Xt = X(:,idx);
t = knKmeansPred(model, Xt);
plotClass(Xt,t)
This function is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

인용 양식

Mo Chen (2023). Kernel Kmeans (https://www.mathworks.com/matlabcentral/fileexchange/26182-kernel-kmeans), MATLAB Central File Exchange. 검색됨 .

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버전 게시됨 릴리스 정보
1.8.0.0

tweak

1.7.0.0

fix incompatibility issue due the stupid API change of function unique()
Improve the code and fix a bug of returning energy
update description

1.6.0.0

n/a

1.5.0.0

fix a minor bug of returning energy

1.2.0.0

remove empty clusters

1.1.0.0

add sample data and detail description

1.0.0.0