代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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m exmultikernellarclass.m

% % Example of KBP applied on a classification problem % % 20/12/05 AR clear all close all n = 500; sigma=0.4; [xapp,yapp,xtest,ytest]=dataset('checkers',n,0,sigma); [xapp]=normalizemeanstd(xap
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m exnuclass1.m

% % SVM Classification 2D examples % with different kernels (including wavelets) and different penalization settings % % 05/05/03 AR clear all close all n = 100; sigma=0.4; [Xapp,yapp,xtest,yt
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www.eeworm.com/read/294739/8209459

txt jueceshu.txt

matlab 决策树cart算法源代码 function D = CART(train_features, train_targets, params, region) % Classify using classification and regression trees % Inputs: % features - Train features % targets -
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www.eeworm.com/read/294611/8216680

m som_clustercolor.m

function color=som_clustercolor(m, class, colorcode) % SOM_CLUSTERCOLOR Sets map unit coloring according to classification % % syntax 1: color = som_clustercolor(m, class, [colorcode]) % syntax 2: c
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m exmultikernellarclass.m

% % Example of KBP applied on a classification problem % % 20/12/05 AR clear all close all n = 500; sigma=0.4; [xapp,yapp,xtest,ytest]=dataset('checkers',n,0,sigma); [xapp]=normalizemeanstd(xap
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www.eeworm.com/read/367875/9724931

m som_clustercolor.m

function color=som_clustercolor(m, class, colorcode) % SOM_CLUSTERCOLOR Sets map unit coloring according to classification % % syntax 1: color = som_clustercolor(m, class, [colorcode]) % syntax 2: c
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www.eeworm.com/read/415313/11076773

m classify.m

% Classify: main classification module % % Parameters: % classifier_str: classifier description string % X_train: training examples % Y_train: training labels % X_test: testing examples % Y_tes
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www.eeworm.com/read/135243/13948822

m demopnn1.m

%% PNN Classification % This demonstration uses functions NEWPNN and SIM. % % Copyright 1992-2002 The MathWorks, Inc. % $Revision: 1.9 $ $Date: 2002/03/29 19:36:07 $ %% % Here are three two-e
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www.eeworm.com/read/235928/14041535

m som_clustercolor.m

function color=som_clustercolor(m, class, colorcode) % SOM_CLUSTERCOLOR Sets map unit coloring according to classification % % syntax 1: color = som_clustercolor(m, class, [colorcode]) % syntax 2: c
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www.eeworm.com/read/111603/15509326

m maxwin.m

function net = maxwin(arg, sv, w, bias, C, zeta) % MAXWIN % % Construct a max-win multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class maxw
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