Explore MATLAB source code curated for "分类方法" with clean implementations, documentation, and examples.
The classification_matlab_toolbox provides an intuitive graphical interface with extensive classification algorithm implementations, featuring built-in cross-validation and performance metrics visualization.
The K-Nearest Neighbors (KNN) classifier is a widely used classification method in digital image processing and analysis, implemented through distance metrics and majority voting algorithms.
This MATLAB source code implements image recognition and classification methods using deep learning, feel free to download and utilize this valuable resource.
Using mushrooms dataset to simulate pattern classification methods [Linear Classification, Bayesian Classification, Parzen Window, KNN] along with feature selection and dimensionality reduction techniques [PCA, LDA], including implementation code descriptions and comparative results analysis for each classification approach.
Rotation Forest - A Popular Ensemble Learning Classification Method for Pattern Recognition with Improved Interpretability and Computational Efficiency
ID3 serves as the cornerstone of decision tree classification methods, forming the basis for advanced techniques like C4.5 and CART. This implementation provides a MATLAB-based solution for ID3 classification, featuring core algorithm components such as entropy calculation, information gain computation, and recursive tree building.
MATLAB source code for image recognition and classification methods, providing feature extraction and classification algorithm implementations using MATLAB's Image Processing Toolbox.
classification_matlab_toolbox - A comprehensive classification methods toolbox featuring an intuitive graphical user interface for machine learning applications