**>> X=rand(100,2);

Y=pdist(X,'euclidean');
Z = linkage(Y,'average');
dendrogram(Z);
**

**>> X = [randn(100,2)+ones(100,2);randn(100,2)-ones(100,2)];

[idx,ctrs] = kmeans(X,2); %分二类,返回类别标号,类心坐标
plot(X(idx==1,1),X(idx==1,2),'r.',X(idx==2,1),X(idx==2,2),'b.')
hold on
plot(ctrs(:,1),ctrs(:,2),'kx', ctrs(:,1),ctrs(:,2),'ko')
**

**>> load fisheriris %装入费歇尔的经典花萼尺寸、种类数据

SL = meas(:,1);SW=meas(:,2);group = species;
X=meas([4,54,124],1);Y=meas([4,54,124],2);
[C,err,P,logp,coeff] = classify([X Y],[SL SW], group,'linear');
nb=NaiveBayes.fit([SL SW], group);
cpre=predict(nb,[X,Y])

cpre =

'setosa'  
'versicolor'  
'versicolor'**