PCA is preferable to Random Projection, as hence the name, Random Projection is just that, where PCA finds components in such a way that maximizes the variability within the data. While it is possible Random Projection will produce a mapping nearly as good as PCA, the latter is guaranteed to produce a projection that is optimal for maximizing the information retained.
The website is in Maintenance mode. We are in the process of adding more features.
Any new bookmarks, comments, or user profiles made during this time will not be saved.