Data for: QUALITATIVE PATTERN RECOGNITION IN CHEMISTRY: THEORETICAL BACKGROUND AND PRACTICAL GUIDELINES

Published: 22 December 2020| Version 1 | DOI: 10.17632/pgrdmfyj44.1
Contributors:
Paolo Oliveri, Monica Casale, Cristina Malegori, Eleonora Mustorgi

Description

Simulated dataset for multivariate unsupervised exploratory analysis and supervised classification. 30 samples, equally divided in 3 classes (10 samples per class), and described by 6 descriptor variables.

Files

Categories

Chemometrics

Licence