dbscan.py 文件源码

def process_options(args):    
    options = argparser().parse_args(args)

    if options.max_rank is not None and options.max_rank < 1:
        raise ValueError('max-rank must be >= 1')
    if options.eps <= 0.0:
        raise ValueError('eps must be > 0')

    wv = wvlib.load(options.vectors[0], max_rank=options.max_rank)

    if options.normalize:
        logging.info('normalize vectors to unit length')
        wv.normalize()

    words, vectors = wv.words(), wv.vectors()

    if options.whiten:
        logging.info('normalize features to unit variance')
        vectors = scipy.cluster.vq.whiten(vectors)

    return words, vectors, options