Principal Components Analysis (PCA) System

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A Principal Components Analysis (PCA) System is a matrix decomposition algorithm that applies a PCA algorithm to solve a PCA task.



References

2017

2015

2015

  from sklearn.decomposition import PCA
  iris = datasets.load_iris()
  X = iris.data
  pca = sklearn.decomposition.PCA(n_components=2)
  X_r = pca.fit(X).transform(X)