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General Concepts of Pattern
Pattern Classification
General Concepts of Pattern Recognition
Basic Definitions
Distance Measurements
Separability Criteria for Feature Selection
Performance Measurements
Nearest Neighbor Classifier
Minimum Distance Classifier
Bayes Classifier -- the Optimal Classifier
The basic principle
Error analysis
Some special cases
The AdaBoost Algorithm
Unsupervised Classification - Clustering
Hierarchical Classifiers
Feature Selection
Optimal transformation for maximizing
Optimal transformation for maximizing
Information conservation in feature selection
Suboptimal feature selection
Stories about feature selection
About this document ...
Ruye Wang 2016-11-30
