import numpy  as np
import matplotlib.pyplot as plt
from sklearn import datasets,decomposition ,manifold
def load_data():
    iris=datasets.load_iris()
    return iris.data,iris.target

load_data()
def test_MDS(*data):
    mds=manifold.MDS(n_components = 4)
    mds.fit(X)
    print('stress(n_components=%d):%s'% (4,str(mds.stress_)))
    


X,y=load_data()
test_MDS(X,y)

MDS算法實現(xiàn)