MSEpca: MSE on PCA

In DLPCA: The Distributed Local PCA Algorithm

MSE on PCA

Description

Caculate the MSE value on PCA

Usage

MSEpca(V = V, X = X, n = n, p = p, m = m, K = K, L = L)

Arguments

V	is the right singular matrix
X	is the orignal data set
n	is the sample size
p	is the number of variables
m	is the number of eigenvalues
K	is the number of nodes
L	is the number of subgroups

Value

MSEpca

the MSE value on PCA

Examples

data(Application)
X=Application
n=nrow(Application);p=ncol(Application)
m=5;L=4;K=4
DLPCA_result=DLPCA(X=X,n=n,p=p,m=m,K=K,L=L)                  
V=DLPCA_result$V
MSEpca_result=MSEpca(V=V,X=X,n=n,p=p,m=m,K=K,L=L) 
MSE_PCA=MSEpca_result$MSEpca

DLPCA documentation built on Aug. 7, 2022, 9:05 a.m.