clustering.py 文件源码

def chc(X, K, params=()):
    pnames = ['linkage_method',  'distance']
    dflts  = [          'ward', 'euclidean']
    if isinstance(params, np.ndarray):
        paramsloc = params.tolist()
    else:
        paramsloc = params
    (linkage_method, distance) = ds.resolveargumentpairs(pnames, dflts, paramsloc)

    Z = sphc.linkage(X, method=linkage_method, metric=distance)
    C = sphc.fcluster(Z, K, criterion='maxclust')
    return clustVec2partMat(C, K)


# Other related functions