源码文件
function test_targets = parzen(train_patterns, train_targets, test_patterns, hn) % Classify using the Parzen windows algorithm …
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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); [B…
源码文件
%GENDATP Parzen density data generation % % B = gendatp(A,m,s) % % Generation of m points using the Parzen estimate of the dens…
源码文件
%GENDATT Generation of a test set out of a given data set % % X = gendatt(A,n,method,p1,p2) % % Generate from the given dataset…
源码文件
function D = parzen(train_features, train_targets, hn, region) % Classify using the Parzen windows algorithm % Inputs: % fea…
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
%GENDATP Parzen density data generation % % B = gendatp(A,m,s) % % Generation of m points using the Parzen estimate of the dens…
源码文件
%GENDATT Generation of a test set out of a given data set % % X = gendatt(A,n,method,p1,p2) % % Generate from the given dataset…