[Data Mining] Classification Algorithm - Gibbs Sampling Implementation
MATLAB Implementation of Gibbs Sampling Classification Algorithm for Data Mining
Explore MATLAB source code curated for "分类算法" with clean implementations, documentation, and examples.
MATLAB Implementation of Gibbs Sampling Classification Algorithm for Data Mining
MATLAB source code implementations including Support Vector Classification (SVC_C, SVC_Nu), Support Vector Regression (SVR_Epsilon, SVR_Nu), and One-Class SVM algorithms with detailed parameter explanations and usage examples.
MATLAB implementation of Competitive Learning algorithm for data mining classification tasks, featuring code examples and neural network architecture explanations.
Comprehensive MATLAB programs for Support Vector Machine algorithms featuring: (1) Main_SVC_C.m - C-SVC multi-class classification with soft margin optimization, (2) Main_SVC_Nu.m - Nu-SVC binary classification using nu parameter control, (3) Main_SVM_One_Class.m - One-Class SVM for novelty detection, (4) Main_SVR_Epsilon.m - Epsilon-SVR regression with epsilon-intensive loss function, (5) Main_SVR_Nu.m - Nu-SVR regression utilizing nu parameter for regression control
Comprehensive implementation of various classification algorithms applied to the iris dataset, featuring code-level explanations of LMS, MSE, and HK approaches with performance comparisons.
A Comprehensive Guide to Classic Support Vector Machine Visualization with Code Integration
MATLAB-based Extreme Learning Machine (ELM) algorithms for classification and regression tasks, featuring rapid training implementation and efficient matrix operations
MATLAB Implementation of Naive Bayes Classification with Probability Calculations and Classification Decision Mechanisms
A comprehensive exploration of Support Vector Machine-based classification algorithms, including core principles, practical applications, and implementation considerations.
Bilateral 2DLDA Program for Face Recognition