Singular Value Decomposition

Advanced

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Full Definition

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Keywords

matrix factorization

Domains

Mathematics

Related Terms

Norm related to

Measure of vector magnitude; used in regularization and optimization.

 Inner Product related to

Measures similarity and projection between vectors.

 Orthogonality related to

Vectors with zero inner product; implies independence.

 Rank related to

Number of linearly independent rows or columns.

 Linear Algebra related to

Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.

 Vector Space related to

Set of vectors closed under addition and scalar multiplication.

 Eigenvector related to

Vector whose direction remains unchanged under linear transformation.

Concept Map

See how Singular Value Decomposition connects to other concepts.

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