Dataset for Artificial Intelligence Classification Algorithm Simulation
Integrated UCI Dataset for AI Classification Algorithm Simulation and Evaluation
SVM Multi-Classification Implementation with Code Enhancements
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.
MATLAB Implementation for Blind Classification of EEG Data (BCI Competition II Dataset IV)
MATLAB source code designed for blind classification of EEG signals utilizing the BCI Competition II Dataset IV, featuring advanced signal processing and machine learning techniques for brain-computer interface applications.
Relevant Datasets for Application Implementation
Supporting datasets for the above application implementation, stored in MATLAB data file format (.mat) for seamless integration with MATLAB-based processing workflows.
Science Density Peaks Clustering Algorithm Source Code
Original MATLAB implementation of the Density Peaks Clustering algorithm published in Science journal, featuring core algorithm and S1 benchmark dataset
Collaborative Filtering Algorithm: Implementation Approaches and Technical Overview
An in-depth exploration of collaborative filtering algorithms, covering user-based and item-based approaches with code implementation insights and technical considerations.
Usage by Machine Learning Practitioners
Application Scenarios and Technical Considerations for Machine Learning Professionals
Classic LDA Feature Selection Algorithm
Classic Linear Discriminant Analysis (LDA) Feature Selection Algorithm Implementation
Line Laser Camera Calibration Using MATLAB
Implementation of line laser camera calibration with MATLAB's computer vision and image processing capabilities