Minimum Error Rate and Minimum Risk Bayesian Classifiers with Code Implementation
Minimum Error Rate and Minimum Risk Bayesian Classifiers featuring sample data applications, algorithmic explanations, and implementation insights
Explore MATLAB source code curated for "最小错误率" with clean implementations, documentation, and examples.
Minimum Error Rate and Minimum Risk Bayesian Classifiers featuring sample data applications, algorithmic explanations, and implementation insights
MATLAB implementation of Bayes classifier based on minimum error rate and minimum risk criteria, featuring algorithm explanation and code structure details
MATLAB implementation of a minimum error rate Bayes classifier with two covariance scenarios (equal and unequal), featuring boundary visualization for three classes through custom classification algorithms
MATLAB code implementation for minimum error rate classification using Bayesian decision theory, covering both minimum error rate and minimum risk classifiers with practical algorithm explanations.