我试图在scipy中使用kmeans聚类,正是这里的一个：

http://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.vq.kmeans.html#scipy.cluster.vq.kmeans

我想要做的是转换列表列表,如下所示：

data without_x[
[0,20.0,1.0,48.0,1224.0,125.5,3156.0,0],[0,22.5,56.0,41.5,85.5,1495.0,3496.5,2715.0,5566.5,0]
]

进入一个ndarry,以便与Kmeans方法一起使用.当我尝试将列表列表转换为ndarray时,我得到一个空数组,从而排除了整个分析. ndarray的长度是可变的,它取决于收集的样本数量.但是我可以轻松搞定
    LEN(data_without_x)

这是返回空列表的代码片段.

import numpy as np
import "other functions"

data,data_without_x = data_preparation.generate_sampled_pdf()
nodes_stats,k,list_of_list= result_som.get_number_k()

data_array = np.array(data_without_x)
whitened = whiten(data_array)
centroids,distortion = kmeans(whitened,int(k),iter=100000)

这就是我得到的输出只是保存在一个简单的日志文件中：

___________________________
this is the data array[[ 0.  0.  0. ...,0.  0.  0.]
 [ 0.  0.  0. ...,0.  0.  0.]
 ...,[ 0.  0.  0. ...,0.  0.  0.]]
___________________________
This is the whitened array[[ nan  nan  nan ...,nan  nan  nan]
 [ nan  nan  nan ...,nan  nan  nan]
 ...,[ nan  nan  nan ...,nan  nan  nan]]
___________________________

有没有人知道当我尝试将列表列表转换为numpy.array时会发生什么？

谢谢你的帮助