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Re:Principal Component Projection Without Principal Componen... by hiddencost on Wednesday February 24, 2016 @04:26AM (#11165534)
The result of PCA is a linear projection matrix. Applying that projection is fast.

You learn the projection from an initial dataset. That is "slow". You apply the projection to new data. That is "fast".

Re:Principal Component Projection Without Principal Componen... by eggie5 on Wednesday February 24, 2016 @11:47AM (#11168100)
thanks for explaining