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cnb_pca.pro
Routines
cnb_pca, data, eval, evec [, mean=mean]This procedure calculates the principal components of a dataset.
test
Routine details
topcnb_pca
cnb_pca, data, eval, evec [, mean=mean]
This procedure calculates the principal components of a dataset. Many IDL routines do this, but I don't really understand their idiosyncrasies. In particular, the builtin PCOMP has weird outputs, and chokes whin n_dim >> 1, n_dim << n_data. This procedure efficiently handles that case.
This procedure is the driver for the PRICOM object class. That class has methods for projecting new data on to principal components, etc.
Parameters
- data in required
An n_dim x n_data array of data points
- eval
- evec
Keywords
- mean in optional
The routine subtracts off the mean data vector before performing the analysis. This keyword holds that mean
toptest
test
File attributes
| Modifcation date: | Fri Jun 11 18:41:28 2010 |
| Lines: | 134 |