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Details for article 4 of 8 found articles
| Title: |
Fast Dimensionality Reduction and Simple PCA |
| Author: |
Partridge, Matthew Calvo, Rafael A. |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 2 (2013) nr. 3 pages 203-214 |
| Year: |
2013-06-14 |
| Contents: |
A fast and simple algorithm for approximately calculating the principal components (PCs) of a dataset and so reducing its dimensionality is described. This Simple Principal Components Analysis (SPCA) method was used for dimensionality reduction of two high-dimensional image databases, one of handwritten digits and one of handwritten Japanese characters. It was tested and compared with other techniques. On both databases SPCA shows a fast convergence rate compared with other methods and robustness to the reordering of the samples. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 4 of 8 found articles
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