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GlossaryArtificial IntelligenceEigenvalues and Eigenvectors

Eigenvalues and Eigenvectors

[ˈaɪɡənˌvæljuːz ænd ˈaɪɡənˌvɛktərz]
Artificial Intelligence
Last updated: December 9, 2024

Definition

Special values and vectors that characterize linear transformations, fundamental to understanding data transformations in AI.

Detailed Explanation

Eigenvalues and eigenvectors are properties of linear transformations that reveal fundamental characteristics of matrices. They are crucial for understanding matrix operations, stability, and dimensionality reduction in AI applications.

Use Cases

Principal Component Analysis, stability analysis, Google's PageRank algorithm

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