Explore MATLAB source code curated for "iris" with clean implementations, documentation, and examples.
This custom MATLAB implementation of Support Vector Machine (SVM) demonstrates effective pattern recognition when tested on the iris dataset, achieving excellent classification performance through optimized feature analysis and prediction mechanisms.
Classification of UCI IRIS Dataset using Bayesian Classification Algorithm with Python Code Implementation
Gabor filter implementation for iris feature extraction and pattern analysis using MATLAB with code examples and parameter optimization
While SVM is typically applied to binary classification, this code utilizes Chih-Jen Lin's SVM toolkit for multi-class classification. The implementation is tested on the UCI IRIS dataset, demonstrating excellent performance through one-vs-one strategy and parameter optimization techniques.
Hossein Alipoor, Iris dataset, neural networks, MLP (Multilayer Perceptron) implementation
MATLAB program for kernel discriminant analysis using iris dataset with enhanced algorithm explanations
Application Scenarios and Technical Considerations for Machine Learning Professionals