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Basic Pattern Recognition Principles
https://doi.org/10.1142/9789812796851_0005Cited by:0 (Source: Crossref)
Abstract:
The following sections are included:
Data Pre-processing
Input Scaling and Normalisation
Feature Extraction
Feature Measurement Types
Nominal Feature Variables
Ordinal Feature Variables
Interval Feature Variables
Ratio Feature Variables
2-D Shape Feature Example
Classification
K-Nearest Neighbour Classifier
Distance Measures in a Feature Space
Statistical Classifiers
ANN Classifiers
Decision Criteria and Output Thresholds
Design Procedure for an ANN Classifier
A Simple Classification Example
Principle Component Analysis (PCA)
References
