MATLAB Implementation of Support Vector Machine (SVM) with Source Code
MATLAB-based SVM source code implementation for support vector machine functionality, designed for feature classification and extraction tasks
SVM Source Code for Feature Classification or Extraction
SVM source code implemented in MATLAB for support vector machines, designed for feature classification and extraction tasks with customizable parameters and algorithm optimizations
MATLAB Source Code Implementation for Intrusion Detection
MATLAB source files implementing network data intrusion detection using the libSVM toolbox for feature classification. Includes data normalization, parameter optimization via cross-validation, SVM model construction, and performance evaluation. The package contains detailed documentation with code implementation explanations.
Feature Classification of Speech Signals Using BP Neural Network
Implementation of effective classification for folk music, guzheng (Chinese zither), rock, and pop music genres through BP neural network architecture with feature extraction and pattern recognition techniques
SVM Source Code Implementation in MATLAB
MATLAB-implemented SVM source code for feature classification and extraction, utilizing machine learning algorithms with training-based model development
ISODATA Clustering Algorithm: An Adaptive Approach for Dynamic Cluster Optimization
ISODATA Clustering Algorithm: Implementation and Applications in Feature Classification