hoevd: Higher Order Eigen Value Decomposition of A Symmetric Tensor

Description Usage Arguments Details Value Examples

View source: R/hoevd.R

Description

Decomposes a higher order symmetric tensors (e.g. higher order centered and standardized tensorian moments) using HOEVD. It is a special case of HOSVD.

Usage

1
hoevd(x, rank = p)

Arguments

x

the symmetric tensorian stored as an array

rank

rank of the decomposition

Details

x = Z * [u,..u]

Value

A list with eliments

u

Estimated eigen vectors

z

Estimated core tensor

Examples

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2
3
data(dat)
moment_center_sd_3 = tensor_moment(Y = dat, center = TRUE, standardize = TRUE, p = 3)$moment
decomp_3 = hoevd(x = moment_center_sd_3, rank = 32)

junruidi/cdHOTS documentation built on Aug. 29, 2021, 10:57 a.m.