Drsvd {FPCdpca} | R Documentation |
Distributed Random SVD
Description
Distributed Random SVD
Usage
Drsvd(data, K, nk, m, q, k)
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. |
Value
A vector containing MSE values and optimal subset index.
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)
[Package FPCdpca version 0.3.0 Index]