[Mark] python 聚类分析 kmeans() 函数使用时报错

from pylab import *from scipy.cluster.vq import *list1=[88,74,96,85]list2=[92,99,95,94]list3=[91,87,99,95]list4=[78,99,97,81]list5=[88,78,98,84]data=vstack((list1,list2,list3,list4,list5))centroids,_=kmeans(data,2)result,_=vq(data,centroids)print result

会出现报错：

 runfile('E:/python/wanzhuanshuju/kmeansStu.py', wdir='E:/python/wanzhuanshuju')
Traceback (most recent call last):


  File "<ipython-input-7-354e9e534bf9>", line 1, in <module>
    runfile('E:/python/wanzhuanshuju/kmeansStu.py', wdir='E:/python/wanzhuanshuju')


  File "C:\Python27\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 685, in runfile
    execfile(filename, namespace)


  File "C:\Python27\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 71, in execfile
    exec(compile(scripttext, filename, 'exec'), glob, loc)


  File "E:/python/wanzhuanshuju/kmeansStu.py", line 16, in <module>
    centroids,_=kmeans(data,2)


  File "C:\Python27\lib\site-packages\scipy\cluster\vq.py", line 520, in kmeans
    book, dist = _kmeans(obs, guess, thresh=thresh)


  File "C:\Python27\lib\site-packages\scipy\cluster\vq.py", line 405, in _kmeans
    code_book, has_members = _vq.update_cluster_means(obs, obs_code, nc)


  File "scipy\cluster\_vq.pyx", line 345, in scipy.cluster._vq.update_cluster_means (scipy\cluster\_vq.c:4572)


TypeError: type other than float or double not supported

这时候把一个list中的一个元素改成float就可以成功运行并得到结果。

from pylab import *from scipy.cluster.vq import *list1=[88.0,74,96,85]list2=[92,99,95,94]list3=[91,87,99,95]list4=[78,99,97,81]list5=[88,78,98,84]data=vstack((list1,list2,list3,list4,list5))centroids,_=kmeans(data,2)result,_=vq(data,centroids)print result