www.gusucode.com > stats 源码程序 matlab案例代码 > stats/ClusteringIllustrationExample.m
%% Clustering Illustration %% % Consider R.A. Fisher's famous iris data set. The input matrix % contains four features (petal and sepal lengths and widths) measured on % 50 irises, and the response is one of three iris species. For % illustration, ignore the species, and the sepal lengths and widths. %% % Load the data set. % Copyright 2015 The MathWorks, Inc. load fisheriris X = meas(:,3:4); %% % Plot the petal lengths and widths. plot(X(:,1),X(:,2),'.'); xlabel('Petal length (cm)'); ylabel('Petal width (cm)'); title('{\bf Iris Petal Lengths and Widths}'); %% % Does the plot suggest that there are grouped irises with respect to % similar petal lengths and widths? Clustering addresses this question.