fit_SSMF

<p>A list of the results for SSMF example for \(k=1, 2, ..., 10\).</p>

datasets

Provides a framework to perform soft clustering using
simplex-structured matrix factorisation (SSMF). The package contains a set of functions
for determining the optimal number of prototypes, the optimal algorithmic
parameters, the estimation confidence intervals and the diversity of clusters.
Abdolali, Maryam & Gillis, Nicolas (2020) <doi:10.1137/20M1354982>.

Wenxuan Liu

MetabolSSMF

Simplex-Structured Matrix Factorisation for Metabolomics
Analysis

Lorraine Brennan

fit_SSMF function

<p>A list with 10 items, each item is a results of SSMF,
containing the values of the estimated prototype matrix (\(W\)) and
the estimated membership matrix (\(H\)) matrix and the value of
the residuals sum of square (SSE).</p>

fit_SSMF: Example results of SSMF.

Description

Usage

Arguments

Format