The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked 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