vector decomposition Sentence Examples
- Vector decomposition allows for efficient representation and manipulation of multidimensional data.
- The singular value decomposition (SVD) is a technique for performing vector decomposition.
- Vector decomposition can be used to reduce dimensionality and identify patterns in data.
- Principal component analysis (PCA) is a type of vector decomposition that finds the directions of maximum variance in a dataset.
- Sparse vector decomposition is a technique used to represent sparse data in a compact and efficient manner.
- Orthogonal vector decomposition guarantees that the decomposed vectors are mutually perpendicular.
- Vector decomposition is used in computer graphics to manipulate and transform objects in 3D space.
- The tensor decomposition technique can be used to decompose higher-order tensors into a sum of simpler tensors.
- Vector space decomposition is a method for representing a vector space as a direct sum of subspaces.
- The choice of decomposition method depends on the specific application and the properties of the data being analyzed.
vector decomposition Meaning
Wordnet
vector decomposition (n)
the analysis of a vector field
Synonyms & Antonyms of vector decomposition
No Synonyms and anytonyms found
FAQs About the word vector decomposition
the analysis of a vector field
No synonyms found.
No antonyms found.
Vector decomposition allows for efficient representation and manipulation of multidimensional data.
The singular value decomposition (SVD) is a technique for performing vector decomposition.
Vector decomposition can be used to reduce dimensionality and identify patterns in data.
Principal component analysis (PCA) is a type of vector decomposition that finds the directions of maximum variance in a dataset.
