This paper provides some issues, known but somewhat little stressed, on using the conventional covariance or correlation matrix when performing the simple PCA. The paper also proposes a new simple alternative by providing some evidence, via real-data analysis and some simulation experiments, supporting the proposal

Muggeo VMR (2020). A note on (basic) Principal Components Analysis. In I. Irigoien, D. Lee, J. Martínez-Minaya, M.X. Rodríguez-Álvarez (a cura di), Proceedings of the 35th International Workshop on Statistical Modelling (pp. 369-372).

A note on (basic) Principal Components Analysis

Muggeo VMR
2020-01-01

Abstract

This paper provides some issues, known but somewhat little stressed, on using the conventional covariance or correlation matrix when performing the simple PCA. The paper also proposes a new simple alternative by providing some evidence, via real-data analysis and some simulation experiments, supporting the proposal
2020
Settore SECS-S/01 - Statistica
978-84-1319-267-3
Muggeo VMR (2020). A note on (basic) Principal Components Analysis. In I. Irigoien, D. Lee, J. Martínez-Minaya, M.X. Rodríguez-Álvarez (a cura di), Proceedings of the 35th International Workshop on Statistical Modelling (pp. 369-372).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/434258
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