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Discriminative vs. Generative Methods
Discriminative vs. Generative Methods for Classification
K Nearest Neighbor and Minimum Distance Classifiers
Naive Bayes Classification
AdaBoost
Support Vector machine
Maximal Margin and Support Vectors
Kernel Mapping
Soft Margin SVM
Sequential Minimal Optimization (SMO) Algorithm
Multi-Class Classification
Kernelized Bayes classifier
Hierarchical (Tree) Classifiers
Clustering Analysis
K-means clustering
Gaussian mixture model
Mixture of Bernoulli
General EM Algorithm
Linear Models for Binary Classification
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