clustering.py 文件源码

def main():
    from optparse import OptionParser
    parser = OptionParser(usage="%prog --XSCALEfile=<LP filename> --outname=<output dendogram>")

    parser.add_option("-o","--outname", dest="outname", default='Dendrogram', help="output dendogram file name")
    parser.add_option("-t", "--threshold", dest="threshold", default='0.4', help="Distance threshold for clustering")
    parser.add_option("-c", "--count",action="store_true", dest="count", default=False, help="Counts datasets in the biggest cluster and exit")
    (options, args) = parser.parse_args()

    thr = float(options.threshold)
    CC = Clustering('Cluster_log.txt')
    link = CC.tree()
    if options.count:
        CC.checkMultiplicity(thr)
        print(CC.thrEstimation())
    else:
        CC.checkMultiplicity(thr) 
        CC.merge('ano', thr)