SVM Classification Code Implementation for Wine Type Testing
SVM classification algorithm implementation with wine category prediction testing using machine learning techniques
Naive Bayes Classification Algorithm
Naive Bayes Classification Algorithm with Probability Modeling
SVM Classification Code for Red Wine Type Prediction
SVM Classification Implementation with Red Wine Category Testing - A machine learning approach using Support Vector Machines for wine type classification based on chemical properties
BP Neural Network Classification for Speech Features
BP Neural Network Speech Feature Classification with Implementation Details
Extreme Learning Machine for Regression Fitting and Classification with Implementation Examples
This resource covers Extreme Learning Machine applications for regression and classification, featuring practical implementations including gasoline octane prediction using near-infrared spectroscopy and iris species recognition with comprehensive code examples for learning purposes.
Bayesian Classifier for 2D Gaussian Distribution Sample Classification
This Bayesian classifier implements classification of two-dimensional Gaussian distribution samples using probabilistic modeling and feature independence assumptions.
Kernel Statistical Learning Toolbox with Integrated KPCA, KDR, and KSRI - Dual Functionality for Classification and Regression
A classic kernel statistical learning toolbox integrating KPCA (Kernel Principal Component Analysis), KDR (Kernel Dimensionality Reduction), and KSRI (Kernel Statistical Regression Implementation) with dual classification and regression capabilities, featuring comprehensive data processing and visualization functions.
Implementation of KNN Algorithm in MATLAB with Code Description
Complete MATLAB Implementation of K-Nearest Neighbors (KNN) Algorithm with Detailed Code Explanation
Easily Understandable SVM MATLAB Toolbox
User-Friendly Support Vector Machine Toolbox for MATLAB Implementation
KDA Program for Classification with Different Kernel Functions in MATLAB Environment
KDA Program for Classification Problems Using Various Kernel Functions in MATLAB