Classifiers based on bayes decision theory : Bayes decision theory ; The Gaussian probability density function -- Classifiers based on cost function optimization : The perceptron algorithm ; Support vector machines: the linear case -- Data transformation: feature generation and dimensionality reduction : Principal component analysis ; Fisher’s linear discriminant analysis -- Feature selection : Hypothesis testing: the t-test ; Fisher’s discriminant ratio -- Template matching : Matching sequences of real numbers ; Dynamic time warping in speech recognition -- Hidden Markov Models – Clustering : Clustering algorithms ; Sequential algorithms

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