源码文件
d = 2; M = 3; Q = 4; T = 5; Sigma = 10; N = sample_discrete(normalize(ones(1,M)), 1, Q); data = randn(d,T); mu = randn(d,M,Q); …
Parzen窗 源代码
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源码文件
%PARZENC Optimisation of the Parzen classifier % % [W,H] = PARZENC(A) % W = PARZENC(A,H,FID) % % INPUT % A dataset % H …
源码文件
%PARZENDC Parzen density based classifier % % [W,H] = PARZENDC(A) % W = PARZENDC(A,H) % % INPUT % A Dataset % H Smoo…
源码文件
%PARZENM Estimate Parzen densities % % W = PARZENM(A,H) % W = A*PARZENM([],H) % [W,H] = PARZENM(A) % % D = B*W % % INPUT %…
源码文件
%PREX_LOGDENS PRTools example on density based classifier improvement % % This example shows the use and results of LOGDENS for …
源码文件
%PARZENC Optimisation of the Parzen classifier % % [W,H] = PARZENC(A) % W = PARZENC(A,H,FID) % % INPUT % A dataset % H …
源码文件
%PARZENDC Parzen density based classifier % % [W,H] = PARZENDC(A) % W = PARZENDC(A,H) % % INPUT % A Dataset % H Smoo…
源码文件
d = 2; M = 3; Q = 4; T = 5; Sigma = 10; N = sample_discrete(normalize(ones(1,M)), 1, Q); data = randn(d,T); mu = randn(d,M,Q); …
源码文件
d = 2; M = 3; Q = 4; T = 5; Sigma = 10; N = sample_discrete(normalize(ones(1,M)), 1, Q); data = randn(d,T); mu = randn(d,M,Q); …
源码文件
%PREX_LOGDENS PRTools example on density based classifier improvement % % This example shows the use and results of LOGDENS for …