Dimension Reduction on large data sets
I am often dealing with data that has thousands of terms, and many thousands, sometime hundreds of thousands, observations. Many of the terms are usually correlated, so I would like to reduce the dimensionality. But if I try to use Principal Components to do this the computation time is excessive or downright impractical. Is there another method that would work better to reduce the dimensions o...