Python中T-SNE实现降维

from sklearn.manifold import TSNE
from sklearn.datasets import load_iris
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
 
 
iris = load_iris()
X_tsne = TSNE(learning_rate=100).fit_transform(iris.data)
X_pca = PCA().fit_transform(iris.data)
 
plt.figure(figsize=(10, 5))
plt.subplot(121)
plt.scatter(X_tsne[:, 0], X_tsne[:, 1], c=iris.target)
plt.subplot(122)
plt.scatter(X_pca[:, 0], X_pca[:, 1], c=iris.target)

转载自：http://www.cnblogs.com/huadongw/p/4894632.html