搜索资源列表
fish
- The fisher iris data file in matlab (in case you do not have it). usually it comes with matlab and is called "fisheriris.mat" and can be read without specifying the path of the file.
MATLABanalysis-and-Application
- 《MATLAB统计分析与应用》程序与数据有聚类分析、判别分析、主成分分析、因子分析、方差分析、数据拟合、Copula理论等-Statistical analysis and application of "MATLAB" program and data clustering analysis, discriminant analysis, principal component analysis, factor analysis, v
StepclassV2
- 逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为
code
- 利用最小距离分类器分类３种鸢尾属植物 load fisheriris 载入Matlab自带的鸢尾属植物数据集 每类的前40个样本用于生成代表该类的模板，后10个作为独立的测试样本-Plant data sets The first 40 of each class used to generate the samples representative of the class template 10 afte
testSVM
- 利用matlab自带的fisheriris数据集（为了可视化将其看成两类）（setosa类和非setosa类）测试svm-test the svmtrain and svmslassify functions by the fisheriris by the matlab software
kmeans_matlab.m
- this the simple implementation of kmeans algorithm, using fisheriris dataset and kmeans function matlab s library-this is the simple implementation of kmeans algorithm, using fisheriris dataset and kmeans function matla
bayes_fisher
- CCR of bayesian classifier on fisheriris
EM_fisher
- EM algorithm on fisheriris