| Display title | Sparse PCA |
| Default sort key | Sparse PCA |
| Page length (in bytes) | 16,636 |
| Namespace ID | 0 |
| Page ID | 213962 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
| Number of redirects to this page | 0 |
| Counted as a content page | Yes |
| HandWiki item ID | None |
| Edit | Allow all users (infinite) |
| Move | Allow all users (infinite) |
| Page creator | imported>BotanyGa |
| Date of page creation | 17:25, 6 February 2024 |
| Latest editor | imported>BotanyGa |
| Date of latest edit | 17:25, 6 February 2024 |
| Total number of edits | 1 |
| Recent number of edits (within past 90 days) | 0 |
| Recent number of distinct authors | 0 |
Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | Sparse principal component analysis (SPCA or sparse PCA) is a technique used in statistical analysis and, in particular, in the analysis of multivariate data sets. It extends the classic method of principal component analysis (PCA) for the reduction of dimensionality of data by introducing sparsity structures... |
