0     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    1     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    2     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    3     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    4     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    5     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    6     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    7     http://m.facebook.com/l.php?u=http%3A%2F%2Fwww...
    8       http://m.jnu.ac.kr/board/mboard.aspx?boardID=13
    9     http://m.jnu.ac.kr/board/mboard.aspx?boardID=1...
    10      http://m.jnu.ac.kr/board/mboard.aspx?boardID=13
    11    http://m.jnu.ac.kr/subPage/subMenuList.aspx?ta...
    12                                  http://m.jnu.ac.kr/
    13    http://m.jnu.ac.kr/board/mboard.aspx?boardID=1...
    14      http://m.jnu.ac.kr/board/mboard.aspx?boardID=13
    ...
    18544    http://cr.naver.com/rd?m=1&px=40&py=41&sx=40&s...
    18545     http://m.blog.naver.com/snakeshower/140209383453
    18546     http://m.blog.naver.com/snakeshower/140209383453
    18547    http://m.search.naver.com/search.naver?where=m...
    18548    http://m.search.naver.com/search.naver?where=m...
    18549    http://m.search.naver.com/search.naver?sm=mtb_...
    18550    http://cr.naver.com/rd?m=1&px=40&py=41&sx=40&s...
    18551     http://m.blog.naver.com/snakeshower/140209383453
    18552    http://cr.naver.com/rd?m=1&px=40&py=41&sx=40&s...
    18553    http://m.search.naver.com/search.naver?where=m...
    18554    http://m.search.naver.com/search.naver?where=m...
    18555    http://m.search.naver.com/search.naver?where=m...
    18556    http://cr.naver.com/rd?m=1&px=40&py=41&sx=40&s...
    18557     http://m.blog.naver.com/snakeshower/140209383453
    18558    http://m.search.naver.com/search.naver?sm=mtb_...
    Name: url, Length: 18559, dtype: object

def distance(url1, url2):
    ratio = SequenceMatcher(None, url1, url2).ratio()
    return 1.0 - ratio

hc = HierarchicalClustering(url, distance)
clusters = hc.getlevel(0.2)
pprint.pprint(clusters)

def clusters(urls):
    ratio = SequenceMatcher(None, url1, url2).ratio()
    distance = 1.0 - ratio
    hd = HierarchicalClustering(urls, distance)
    clusters = hc.getlevel(0.2)
    return clusters

def multiProcessing():
    p = multiprocessing.Pool(4)
    p.map(clusters,urls)

if __name__ == '__main__':
    multiProcessing()