LogClustering_BGL.py 文件源码

def clustering(partSeqList, partData):
    '''Invoke the clustering method in library'''

    print('clustering for the seperated dataset')
    data_dist = pdist(partData,metric=distCalculate)
    Z = linkage(data_dist, 'complete')
    clusterLabels = fcluster(Z, para['max_d'], criterion='distance')
    print('there are altogether %d clusters in this initial clustering'%(len(np.unique(clusterLabels))))
    clusNum = len(set(clusterLabels))
    instIndexPerClus=[[] for i in range(clusNum)]  #initialization
    for i in range(len(clusterLabels)):
        lab = clusterLabels[i]-1
        instIndexPerClus[lab].append(partSeqList[i])
    return clusterLabels,instIndexPerClus