FPCdpca (version 0.1.0)

Dpca: Distributed PCA

Description

Distributed PCA is a technology that applies PCA to distributed computing environments.

Usage

Dpca(data,K, nk)

Value

MSEXp, MSEvp, MSESp, kopt

Arguments

data

is the n random vectors constitute the data matrix.

K

is an index subset/sub-vector specifying.

nk

is the size of subsets.

Examples

K=20; nk=50; nr=10; p=8;n=K*nk;d=6
data=matrix(c(rnorm((n-nr)*p,0,1),rpois(nr*p,100)),ncol=p)
Dpca(data,K,nk)