initializeCMTF: Initialize input vectors for the CMTF algorithm

In CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models

Initialize input vectors for the CMTF algorithm

Description

Initialize input vectors for the CMTF algorithm

Usage

initializeCMTF(
  Z,
  numComponents,
  initialization = "random",
  output = "Fac",
  Y = NULL
)

Arguments

Z	List object as generated by setupCMTFdata().
numComponents	Integer stating the number of desired components for the CMTF model.
initialization	Initialization method, either "random" or "nvec" (default "random"). Random will initialize random input vectors. Nvec will initialize vectors according to an singular value decomposition of the (matricized, if needed) concatenated datasets per mode.
output	How to return output: as a "Fac" object (default) or vectorized ("vect").
Y	Used as dependent variable when initialization is set to "npls". Not used by default.

Value

List or vector of initialized input vectors per mode.

Examples

set.seed(123)
A = array(rnorm(108*2), c(108, 2))
B = array(rnorm(100*2), c(100, 2))
C = array(rnorm(10*2), c(10, 2))
D = array(rnorm(100*2), c(100,2))
E = array(rnorm(10*2), c(10,2))

df1 = reinflateTensor(A, B, C)
df2 = reinflateTensor(A, D, E)
datasets = list(df1, df2)
modes = list(c(1,2,3), c(1,4,5))
Z = setupCMTFdata(datasets, modes, normalize=FALSE)

init = initializeCMTF(Z, 1)

CMTFtoolbox documentation built on Aug. 23, 2025, 1:11 a.m.