principal component analysis (pca)

What are the Benefits of Using PCA?

- Dimensionality Reduction: Simplifies large datasets, making them easier to analyze.
- Noise Reduction: By focusing on the principal components, PCA can reduce the impact of noise in the data.
- Improved Interpretability: Helps in understanding the underlying structure of the data.
- Enhanced Visualization: Facilitates the creation of 2D or 3D plots for easier data interpretation.

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