Serie de Machine Learning Análisis de Componentes Principales (PCA)

Sergio Pernice

No 770, CEMA Working Papers: Serie Documentos de Trabajo. from Universidad del CEMA

Abstract: En este documento presentamos la técnica de Principal Component Analysis (PCA). Es parte de la serie de documentos sobre machine learning. Es parte del contenido del curso “Métodos de Machine Learning para Economistas” de la Maestría en Economía de la UCEMA.

Keywords: Principal component analysis; Análisis de componentes principales; aprendizaje no supervisado. (search for similar items in EconPapers)
Pages: 16 pages
Date: 2020-12
New Economics Papers: this item is included in nep-big and nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:cem:doctra:770

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