2018-05-04 11:23:30      个评论    来源：lonely2018的博客

```#14-1 离差标准化
import pandas as pd
outfile='../14.2/standardized.xls'
data=(data-data.min())/(data.max()-data.min())
data=data.reset_index()
data.to_excel(outfile,index=False)

#14-2谱系聚类图
import pandas as pd
inputfile='../14.2/standardized.xls'

import matplotlib.pyplot as plt
P=dendrogram(Z,0)
plt.show()
#14-3 层次聚类算法
import pandas as pd
inputfile='../14.2/standardized.xls'
k=3

from sklearn.cluster import AgglomerativeClustering         #sklearn层次聚类函数
model.fit(data)
r=pd.concat([data,pd.Series(model.labels_,index=data.index)],axis=1)
r.columns=list(data.columns)+[u'聚类类别']

import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus']=False
style=['ro-','go-','bo-']

xlabels=[u'工作日人均停留时间',u'凌晨人均停留时间',u'周末人均停留时间',u'日均人流量']
pic_output='../14.2/type_'

for i in range(k):
plt.figure()
tmp=r[r[u'聚类类别']==i].iloc[:,:4]
for j in range(len(tmp)):
plt.plot(range(1,5),tmp.iloc[j],style[i])
plt.xticks(range(1,5),xlabels,rotation=20)