ResNMTF inner functiion — res_nmtf

Apply ResNMTF to data, without stability analysis and for a specific number of biclusters

Usage

res_nmtf_inner(
  data,
  row_indices,
  column_indices,
  init_f = NULL,
  init_s = NULL,
  init_g = NULL,
  k_vec = NULL,
  phi = NULL,
  xi = NULL,
  psi = NULL,
  n_iters = NULL,
  num_repeats = 5,
  spurious = TRUE,
  distance = "euclidean",
  no_clusts = FALSE
)

Arguments

data: list of matrices, data to be factorised
row_indices: list of relevant row indices from all other views for each view
column_indices: list of relevant column indices from all other views for each view
init_f: list of matrices, initialisation for F matrices
init_s: list of matrices, initialisation for S matrices
init_g: list of matrices, initialisation for G matrices
k_vec: integer, vector of integers, number of clusters to consider
phi: list of matrices, default is NULL, restriction matrices for F
xi: list of matrices, default is NULL, restriction matrices for S
psi: list of matrices, default is NULL, restriction matrices for G
n_iters: integer, default is NULL, number of iterations to run for
num_repeats: integer, default is 5, minimum value of 2 number of num_repeats to use within spurious removal
spurious: boolean, default is TRUE, whether or not spurious biclusters should be found and removed
distance: string, default is "euclidean", distance metric to use within the bisilhouette score
no_clusts: boolean, default is FALSE, whether to return the factorisation rather than the biclustering

Value

list of results from ResNMTF