import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from sklearn.datasets.samples_generator import make_classification
X1为样本特征,Y1为样本类别输出, 共400个样本,每个样本2个特征,输出有3个类别,没有冗余特征,每个类别一个簇
X1, Y1 = make_classification(n_samples=400, n_features=2, n_redundant=0,
n_clusters_per_class=1, n_classes=3)
plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
plt.show()
上面X1[:, 0], X1[:, 1]这种表示看不懂,请问表示什么意思呀?