FPCdpca (version 0.4.0)

Drsvd: Distributed Random SVD

Description

Distributed Random SVD

Usage

Drsvd(data, K, nk, m, q, k)

Value

A vector containing MSE values and optimal subset index.

Arguments

data

A numeric matrix or data frame.

K

Number of distributed nodes.

nk

Size of each subset.

m

Target dimension for random projection.

q

Number of power iterations.

k

Desired rank.

Examples

library(rsvd)
library(matrixcalc)
K <- 20
nk <- 50
p <- 8
m <- 5
q <- 5
k <- 4
n <- K * nk
data <- matrix(rexp(n * p, 0.8), ncol = p)
Drsvd(data = data, K = K, nk = nk, m = m, q = q, k = k)