Explore MATLAB source code curated for "模式识别" with clean implementations, documentation, and examples.
This code implements Parzen window estimation for probability density functions, a fundamental technique in pattern recognition applications including clustering, classification, and anomaly detection.
Implementation of Bayesian pattern recognition on the University of Wisconsin's long-term breast cancer dataset using Gaussian models, achieving over 95% recognition rate. This serves as a significant case study in pattern recognition with practical medical applications.
Pattern recognition of handwritten English letters with a GUI interface demonstrating the recognition workflow and algorithmic steps.
MATLAB experimental implementation of Probabilistic Neural Network algorithm for pattern recognition applications including license plate recognition and text recognition
MATLAB implementation of Bayesian classifier for pattern recognition with comprehensive code structure and algorithmic explanations
MATLAB-based pattern recognition simulation demonstrating effective gender classification using Bayesian classifier with implementation insights
MATLAB implementation of Bayesian classifier for pattern recognition, featuring color-coded visualization of correctly classified and misclassified points with detailed code explanations
Rotation Forest - A Popular Ensemble Learning Classification Method for Pattern Recognition with Improved Interpretability and Computational Efficiency
MATLAB implementation for pattern recognition in image processing utilizing genetic algorithm optimization, featuring image preprocessing, feature extraction, and performance evaluation modules.
Wavelet analysis-based signal energy feature extraction method for pattern recognition, with MATLAB source code implementation including decomposition, energy calculation, and feature vector construction algorithms