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模式识别的fisher线性判别方法,包括学习文档和实验源代码。-Fisher linear discriminant pattern recognition methods, including documents and experiment to learn the source code.
Update : 2025-02-19 Size : 238kb Publisher : yeyee

线性判别分析(LDA,全称Fisher Linear Discriminant Analysis)算法的C#实现源码,根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算,使用zedgraph控制绘图。有简单的测试数据。- C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algorithm , according to LDA.m of stprtool box for matlab . Use MathNet library to do matrix operations,and use zedgraph control for drawing. Thers has a simple test data.
Update : 2025-02-19 Size : 425kb Publisher : 李洪涛

基于Fisher线性判别的基因分类器的设计,里面有源程序-Fisher linear discriminant based on the gene classifier design, which has source code
Update : 2025-02-19 Size : 88kb Publisher :

利用fisher线性判别分析方法的matlab代码-Use of fisher linear discriminant analysis method matlab code
Update : 2025-02-19 Size : 2kb Publisher : 李萌

【matlab国外编程代做】 Fisher二元线性判别 Matlab源码 -[Do] matlab programming abroad on behalf of the Fisher linear discriminant Matlab binary code
Update : 2025-02-19 Size : 201kb Publisher : 琦琦

【matlab编程代做】Fisher二元线性判别 Matlab源码 -[do] matlab programming generation Fisher two element linear discriminant Matlab source code
Update : 2025-02-19 Size : 202kb Publisher : 菁菁

THIS IS FISHER LINEAR DISCRIMINANT MATLAB CODE
Update : 2025-02-19 Size : 1kb Publisher : vineeth

DL : 0
matlab对于线性判别分析的代码,过程详细易懂,相信对大家有用。-matlab code for linear discriminant analysis, to understand the process in detail, we believe to be useful.
Update : 2025-02-19 Size : 1kb Publisher : baojunli

基于matlab的模式识别基础实例源代码,包括贝叶斯分类器,Fisher线性判别,主成分分析,k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
Update : 2025-02-19 Size : 104kb Publisher : 曾丁

Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear Discriminant Analysis Support Vector Machines (SVM) The code was written in Matlab, and it requires the user to install LIBSVM. Three face s are included to test the effectiveness of the algorithm in cases where the faces have variation in pose and illumination.
Update : 2025-02-19 Size : 9.2mb Publisher : saisai
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