image_hash_mean

import imagehash as img
MAX_DIST = 256

def center(hashes):
    d = MAX_DIST
    cnt = None
    for i in range(len(hashes)-1):
        maxd = 0
        for j in range(i+1,len(hashes)):
            temp = img.hex_to_hash(hashes[i]) - img.hex_to_hash(hashes[j])
            if temp > maxd:
                maxd = temp
        if maxd < d:
            d = maxd
            cnt = hashes[i]
    return cnt, d

f = open(r"E:\coins\coin_hash.txt", "r")
buf = f.read()
f.close()
allhash = eval(buf)
tres = allhash[3]
cluster = {}
for trihash in tres:
    if not cluster.keys():
        cluster[trihash] = {'neib':[trihash], 'dist': MAX_DIST}
    else:
        mind = MAX_DIST
        minkey = None
        for clus in cluster.keys():
            d = img.hex_to_hash(clus)-img.hex_to_hash(trihash)
            if d < mind:
                minkey = clus
                mind = d
        if mind > 25:
            cluster[trihash] = {'neib': [trihash], 'dist': MAX_DIST}
        else:
            cluster[minkey]['neib'].append(trihash)
            c, dist = center(cluster[minkey]['neib'])
            if c != minkey:
                cluster[c]=cluster[minkey]
                del cluster[minkey]
                cluster[c]['dist'] = dist
print(cluster)