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lower-dimensional representation (e.g., 2D visualization) X_pca = pca.fit_transform(X) # Access the explained variance ratio of the principal components explained_variance_ratio = pca.explained_variance_ratio_ t-SNE Implementation: from sklearn.manifold import TSNE # Assuming 'X' is your