The RapidMiner community is on read-only mode until further notice. Technical support via cases will continue to work as is. For any urgent licensing related requests from Students/Faculty members, please use the Altair academic forum here.
PCA vs SVD.
I m working on classification problem and would like to reduce the features of data. while using rapidminer, I see two separate option for SVD and PCA. I see in many blogs - PCA and SVD are one and the same, except that SVD is used for non square matrices. My data is 1000 x 7 dimension. with combination of few algorithms, SVD and PCA operators in rapidminer gives big difference in results.
Also , is there any way to have intutive understanding of PCA vs SVD operators used in rapidminer.
thanks.
regards
thiru
Also , is there any way to have intutive understanding of PCA vs SVD operators used in rapidminer.
thanks.
regards
thiru
0