function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本 输出C为判别系数向量 -function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known typ

此文档为word文档，给出了F-score的数学计算公式，并将公式用MATLAB写成程序-This document is a word document, gives the F-score mathematical formulation, and the MATLAB program of computing F-score.

F-score matlab 源代码 对F-score进行计算 运行环境 Matlab-F-score matlab source code for the F-score is calculated runtime environment Matlab

The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use. Create a data set your data (X ~ N x F) and labels (Y ~ N x 1): ds = prtDataS