Auto classify images part 2. Compile a list of images, and carry out a cluster analysis

auto-class 2.py

imlist=[]
for infile in glob.glob( os.path.join(path, '*.jpg') ):
     imlist.append(infile)
imlist=np.sort(imlist)

features = np.zeros([len(imlist),512])

for i,f in enumerate(imlist):
    im = np.array(Image.open(f))
    h, edges = np.histogramdd(im.reshape(-1,3),8,normed=True, range=[(0,255),(0,255),(0,255)])
    features[i] = h.flatten()

import hcluster
tree = hcluster(features)