Feature extraction consists of creating a new, smaller set of features that captures “most” of the original information.

Why is Feature Extraction Useful?

• Reduce the resources needed for processing without losing important information.
• Reduce the amount of redundant data for a given analysis.
• Useful to visualise data with many features

In this section, we explore several techniques for feature extraction.

Principal Component Analysis (PCA)

MANIFOLDS

ISOMAP

t-SNE

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