python – 具有有限内存的kmeans聚类

群集运行时,我收到此错误：

服务1个请求后,超出159.852 MB的软私有内存限制

这是我正在做的,color_data将是大约500万x,y,z点：

def _cluster(color_data,k):
  """ Clusters colors and return top k 

      Arguments:
      ----------
        color_data
          TYPE: list
          DESC: The pixel rgb values to cluster
        k
          TYPE: int
          DESC: number of clusters to find in the colors

      Returns:
      --------
        sorted_colors
          TYPE: list
          DESC: A list of rgb centroids for each color cluster
  """

  # make rgbs into x,z points
  x,z = [],[],[]
  for color in color_data:
    x.append(color[0])
    y.append(color[1])
    z.append(color[2])

  # averaged_colors are points at center of color clusters
  # labels are cluster numbers for each point
  averaged_colors,labels = kmeans2(array(zip(x,z)),k,iter=10)

  # get count of nodes per cluster
  frequencies = {}
  for i in range(k):
    frequencies[i] = labels.tolist().count(i)

  # sort labels on frequency
  sorted_labels = sorted(frequencies.iteritems(),key=itemgetter(1))

  # sort colors on label they belong to
  sorted_colors = []
  for l in sorted_labels:
    sorted_colors.append(tuple(averaged_colors[l[0]].tolist()))

  return sorted_colors

我怎么能在128MB以下的内存中做到这一点？

编辑：
在我的本地计算机上,运行我的应用程序显示我的活动监视器中使用了大约500 MB的内存