FMS_random: Compute Factor Match Score for two models.

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

Compute Factor Match Score for two models.

Description

Compute Factor Match Score for two models.

Usage

FMS_random(Fac1, Fac2)

Arguments

Fac1	A list of matrices corresponding to found components per mode in model 1.
Fac2	A list of matrices corresponding to found components per mode in model 2.

Value

Scalar of FMS value

Examples

set.seed(123)

I = 10
J = 5
K = 3
df = array(rnorm(I*J*K), c(I,J,K))
datasets = list(df, df)
modes = list(c(1,2,3), c(1,4,5))
Z = setupCMTFdata(datasets, modes)

model1 = acmtf_opt(Z, 1)

Fac1 = model1$Fac[1:3]
Fac2 = Fac1 # identical models for the purposes of demonstration
result = FMS_random(Fac1, Fac2) # [1] 1

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