1. This property is the basis for principal components analysis and canonical correlation. 2. One-dimensional SOM versus principal component analysis ( PCA ) for data approximation. 3. Behavioural activation emerged from a component analysis of cognitive behaviour therapy. 4. Popular algorithms are neighbourhood components analysis and large margin nearest neighbor. 5. Factor or components analysis could be applied to correlations or covariances among cases. 6. One of these is nodal component analysis looking at the relationship between nodes. 7. Nodal component analysis has 2 further subsets functional analysis and nodal activity analysis. 8. It is related to network entropy, which is used in Independent Component Analysis . 9. Independent component analysis ( ICA ) was invented to untangle mixtures of signals. 10. Independent component analysis ( ICA ) was invented to untangle mixtures mf ( rignals.
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