Explore MATLAB source code curated for "线性分类" with clean implementations, documentation, and examples.
A MATLAB-based implementation of linear classification using the perceptron algorithm, featuring weight adjustment and threshold learning mechanisms for binary classification tasks.
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.
Linear Discriminant Analysis (LDA) is a widely-used linear classification method for feature extraction, but its direct application to ear recognition faces dimensionality and small sample size problems. Researchers have developed multiple solutions to address these challenges, implementing various LDA-based ear recognition approaches. This article provides theoretical comparisons and experimental validation of four methods: Fisherears, DLDA, VDLDA, and VDFLDA, with implementation insights and performance analysis demonstrating VDFLDA's superiority.
A comprehensive demonstration of Support Vector Machines applied to classification problems, covering fundamental concepts and implementation approaches
MATLAB implementation of Support Vector Machines (SVM) with code examples for linear and nonlinear classification using built-in machine learning toolbox functions