Initialize input vectors for the ACMTF algorithm

Usage

initializeACMTF(
  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

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 = initializeACMTF(Z, 2)