Explore MATLAB source code curated for "线性分类器" with clean implementations, documentation, and examples.
Bayesian classification experiment demonstrating simple linear classifier design with MATLAB code examples, covering fundamental pattern recognition methodologies and Bayesian formula application for classifier implementation.
A comprehensive pattern recognition assignment covering linear classifiers, minimum risk Bayesian classifiers, supervised learning hierarchical clustering analysis, K-L transform for feature extraction, and support vector machines with implementation approaches
This is the Fisher Linear Discriminant, the most widely used linear classifier in pattern recognition, which demonstrates classification results by plotting decision boundaries and visualizing classification effectiveness through scatter plots and separation lines.
Design of linear classifiers in pattern recognition, including MATLAB implementations of Perceptron, Least Squares Method, and Support Vector Machine algorithms with detailed code explanations and parameter optimization techniques.
Pattern Recognition using Linear Classifier and Fisher Linear Discriminant: Classifying Female and Male samples with Training Sets test1 and test2 as Testing Datasets
MATLAB implementation of linear classifier with complete code package including visualization charts, .m files, and experimental report documentation
Classification experiments on the Iris dataset featuring linear classifier implementation, BP neural network classifier, and XOR data classification using BP networks, accompanied by a comprehensive experimental report with code-level insights
Pattern Recognition - Linear Classifier Design Using Perceptron Criterion with Algorithm Implementation Details
Linear Classifier