Linearity of PCA – stats.stackexchange.com 06:23 Posted by Unknown No Comments PCA is considered a linear procedure, however: $PCA(X)\neq PCA(X_1)+PCA(X_2)+...+PCA(X_n)$, where $X=X_1+X_2+...+X_n$. This is to say that the eigenvectors obtained by the PCAs on the data matrices ... from Hot Questions - Stack Exchange OnStackOverflow via Blogspot Share this Google Facebook Twitter More Digg Linkedin Stumbleupon Delicious Tumblr BufferApp Pocket Evernote Unknown Artikel TerkaitThe formal way to simultaneously diagonalise two Hermitian operators that Commute? – physics.stackexchange.comHow Does Chains of Mephistopheles Work? – boardgames.stackexchange.comContinuum-many independent vectors over Q in R as a Q-vector space – mathoverflow.netHow to introduce myself in a CV when I share the same name as an unpopular politician? – workplace.stackexchange.comAre there any documented examples of wooden ships which were in active service for 100 years or more? If not, what is the longest? – history.stackexchange.comNested polygons in QGIS overlap and don't show the real colour gradient – gis.stackexchange.com
0 Comment to "Linearity of PCA – stats.stackexchange.com"
Post a Comment