📉降維範例¶

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%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

%matplotlib inline import numpy as np import matplotlib.pyplot as plt

載入資料集¶

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from sklearn import datasets

iris = datasets.load_iris()
X = iris.data
y = iris.target

print(X[0])

from sklearn import datasets iris = datasets.load_iris() X = iris.data y = iris.target print(X[0])

使用 PCA¶

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from sklearn.decomposition import PCA

pca = PCA(n_components=2)
pca.fit(X)
X = pca.transform(X)

print(X[0])

from sklearn.decomposition import PCA pca = PCA(n_components=2) pca.fit(X) X = pca.transform(X) print(X[0])

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plt.scatter(X[:, 0], X[:, 1], c=y)

plt.scatter(X[:, 0], X[:, 1], c=y)