<p>A data object containing near-infrared spectra of ternary mixtures of ethanol, water and iso-propanol, measured at five different temperatures (30, 40, ..., 70 degrees Centigrade).</p>

dataset

The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package. The method is described
in the article "Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values" by S. Rejeb, C. Duveau, T. Rebafka (2022) <arXiv:2202.07963>.

Sara Rejeb

missSOM

Self-Organizing Maps with Built-in Missing Data Imputation

Tabea Rebafka

Catherine Duveau

Ron Wehrens

Johannes Kruisselbrink

nir function

Title  Near-infrared data with temperature effects — nir

Title  Near-infrared data with temperature effects

nir: Title Near-infrared data with temperature effects

Description

Arguments

References