DIMENSIONALITY REDUCTION IN RAW SPECTRAL GOAT MILK DATA BY MULTIVARIATE ANALYSIS

Authors

  • Judith Carmen MIRANDA ALEJO Instituto Valenciano de Investigaciones Agrarias - Centro de Investigación y Tecnología Animal (CITA-IVIA)

Keywords:

principal component analysis, milk spectra, genetic improvement

Abstract

Today's researchers need to handle the analysis of large datasets and require software capable of executing various statistical techniques. Principal Component Analysis (PCA) is a frequently used technique in exploratory data analysis and model simplification.

Published

2023-06-30

How to Cite

MIRANDA ALEJO, J. C. (2023). DIMENSIONALITY REDUCTION IN RAW SPECTRAL GOAT MILK DATA BY MULTIVARIATE ANALYSIS. Bio Scientia, 6(13), 25–26. Retrieved from https://revistas.usfx.bo/index.php/bs/article/view/1417