pro_cluster.py 文件源码

def main():
    # sentences = TextLoader()
    # model = gensim.models.Word2Vec(sentences, sg=1, min_count=5, size=50, workers=8, window=5)
    # model.save('word2vector.model')
    # print 'word2vec ok'
    #
    # pro_cluster('error.txt', 'error_cluster_word2vec.txt', 0.2)
    all_cluster()