In [1]:
# Reducing dimensionality through Factor Analysis.

In [3]:
from sklearn.decomposition import FactorAnalysis
from sklearn import datasets

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iris = datasets.load_iris()

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fa = FactorAnalysis(n_components=2)
iris_two_dim = fa.fit_transform(iris.data)

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iris_two_dim[:5]


Out[10]:
array([[-1.33125848,  0.55846779],
       [-1.33914102, -0.00509715],
       [-1.40258715, -0.307983  ],
       [-1.29839497, -0.71854288],
       [-1.33587575,  0.36533259]])

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