dd_ex2.m

数据挖掘的工具箱,最新版的,希望对做这方面研究的人有用

%   DD_EX2
%
% Show the performance of a whole list of classifiers

% Generate data:
nrx = 50;
X = gendatb([nrx nrx]);
% Give names to the features:
X = set(X,'featlab',['height';'width ']);
% Use now class 2 as target class:
X = oc_set(X,'2');

% Split the data in training and test data:
trnr = 15;
[x,z] = gendat(X,[trnr trnr]);
% Only use target data for training,
x = target_class(x);
% and both classes for testing:
z = [z;gendatout(x,100)];

% Here we go
clf;

% Train several classifiers and plot the ROC curve:
w = parzen_dd(x,0.2);
plotroc(dd_roc(z*w),'b');

w = svdd(x,0.2,5);
plotroc(dd_roc(z*w),'r');

w = lpdd(x,0.2,5,'d',2);
plotroc(dd_roc(z*w),'g');

w = nndd(x,0.2);
plotroc(dd_roc(z*w),'y');

w = kmeans_dd(x,0.2);
plotroc(dd_roc(z*w),'m');

w = knndd(x,0.2,5);
plotroc(dd_roc(z*w),'k');

legend('parzen','svdd','lpdd','nndd','kmeans','knndd')