在一个项目中,我设计了一个八度音阶的K-means算法的原型。如果不能在HTML文件中运行Octave,我如何将这个用octave编写的K-means算法转换为Tensorflow.js,以便能够在浏览器中运行它:
x = [1,2,3,4,5,6;7,8,9,10,11,12;13,14,15,16,17,18]
time = [1,2,3,4,5,6]
k = size(x)
foo = 0
mu = zeros(k(1),1)
for i = 1:k(2),
mu = [x(:,i)/pinv(time(i)), mu]
foo = foo+1
endfor
mu(:,[foo+1]) = [];
usr = sum(mu') / numel(x)
usr = usr'
x = [x,usr]
centroids = [x(:,randi([1,size(x)(2)])), x(:,randi([1,size(x)(2)]))]
if centroids(:,1) == centroids(:,2),
for i = 1:500,
centroids = [x(:,randi([1,size(x)(2)])), x(:,randi([1,size(x)(2)]))]
endfor
endif
K = size(centroids, 2);
idx = zeros(size(x,1), 1);
for c = 1:500,
for i = 1:size(x,2),
min = Inf;
for j = 1:K,
diff = sum((x(:,i) - centroids(:,j)).^2);
if min > diff
min = diff;
idx(i) = j;
end
end
end
for i = 1:size(centroids,2),
xi = x(:,idx==i)
ck = size(xi,2);
centroids(:,i) = [sum(xi,2) * (1/size(x(:,idx==i),2))]
endfor
endfor发布于 2020-07-22 20:58:00
你可以使用一些用this answer编写的服务器端解决方案,或者如果你真的需要在浏览器中运行,恐怕你需要用JavaScript来翻译它。您可以手动完成此操作,也可以使用matscript等工具。
https://stackoverflow.com/questions/62987784
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