Mean Shift Algorithm: MATLAB Implementation for Data Clustering
MATLAB Implementation of Mean Shift Algorithm for Cluster Analysis with Code Descriptions
Explore MATLAB source code curated for "Matlab实现" with clean implementations, documentation, and examples.
MATLAB Implementation of Mean Shift Algorithm for Cluster Analysis with Code Descriptions
MATLAB implementation of Expectation-Maximization (EM) algorithm - an iterative method for finding maximum likelihood or maximum a posteriori estimates of parameters in statistical models with unobserved latent variables, featuring probability model handling and parameter optimization.
Implementation of GABOR filter design through two MATLAB-based programs with detailed parameter configuration and application examples.
MATLAB implementation of fuzzy C-means clustering algorithm with detailed code explanations and practical applications
MATLAB implementation of Powell's method for nonlinear programming optimization, supporting multi-dimensional parameters - customizable through user modifications. Includes algorithm workflow explanation and key function descriptions.
Implementation of fuzzy control algorithms in MATLAB, providing valuable insights for fuzzy control simulation and featuring practical code descriptions including key functions like fis=readfis() for system initialization and evalfis() for inference evaluation.
MATLAB implementation of the algorithm proposed in the "New Edge-Directed Interpolation" paper with code explanations and practical demonstrations
Chua's Circuit, chaotic phenomena, MATLAB simulation with differential equation solving
MATLAB implementation of the Artificial Bee Colony algorithm with code optimization and parameter adjustment strategies
MATLAB implementation of freight volume prediction based on BP neural network with data preprocessing, model training, and performance optimization techniques.