March 2010
Intermediate to advanced
150 pages
7h 13m
English
book
Introduction to Pattern Recognition: A Matlab Approach
by Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras
Content preview from Introduction to Pattern Recognition: A Matlab Approach
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4.5 The Receiver Operating Characteristic Curve 113
Exercise 4.4.1
Repeat the t-test using for the variance the values 1 and 16. Compare and explain the obtained results.
Remark
•Thet-test assumes that the values of the features are drawn from normal distributions. However, in real
applications this is not always the case. Thus, each feature distribution should be tested for normality
prior to applying the t-test. Normality tests may be of the Lilliefors or the Kolmogorov-Smirnov type,
for which MATLAB functions are provided (lillietest and kstest, respectively).
If t he feature distributionsturn out not to be normal, one should choose a nonparametric ...
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