MUNTD: Calc Nonnegative-Tucker-Decomposition

Description Usage Arguments Value

View source: R/MUNTD.R

Description

Calc Nonnegative-Tucker-Decomposition

Usage

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MUNTD(y, core_dims = ceiling(dim(y)/5), lra_ranks = core_dims,
  method = "FSTD", convDebug = F)

Arguments

y

Input tensor. simple_spase_array

core_dims

Number of Features/Size of core tensor. vector

lra_ranks

Ranks for Low Rank Approximation. numeric

method

Methods for Low Rank Approximation. 'FSTD'/'HOSVD'

convDebug

WIP

Value

list. $g:core tensor (array) $As:Feature matrices (list,each matrix is matrix-class)


liberaldays/TensorSlam documentation built on May 21, 2019, 6:13 a.m.