Some properties of various types of matrix factorization
| Autor: | Wei Wen Tan, Wei Shean Ng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
lcsh:T58.5-58.64
lcsh:Information technology Computer science Computation 01 natural sciences LU decomposition 010305 fluids & plasmas Matrix decomposition law.invention Algebra Matrix (mathematics) law Product (mathematics) 0103 physical sciences Singular value decomposition 010306 general physics Cluster analysis Cholesky decomposition |
| Zdroj: | ITM Web of Conferences, Vol 36, p 03003 (2021) |
| ISSN: | 2271-2097 |
| DOI: | 10.1051/itmconf/20213603003 |
| Popis: | Matrix factorizations or matrix decompositions are methods that represent a matrix as a product of two or more matrices. There are various types of matrix factorizations such as LU factorization, Cholesky factorization, singular value decomposition etc. Matrix factorization is widely used in pattern recognition, image denoising, data clustering etc. Motivated by these applications, some properties and applications of various types of matrix factorizations are studied. One of the purposes of matrix factorization is to ease the computation. Thus, comparisons in term of computation time of various matrix factorizations in different areas are carried out. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|