Principal Component Analysis: A Generalized Gini Approach

With Stéphane Mussard and Téa Ouraga, we recently uploaded on arxiv a paper Principal Component Analysis: A Generalized Gini Approach,

A principal component analysis based on the generalized Gini correlation index is provided. It is proven that the reduction dimensionality based on the generalized Gini correlation index, that relies on city-block distances, is robust to outliers.

Some codes are also available on a dedicated github repo.



Cite this blog post
Arthur Charpentier (2019, October 23). Principal Component Analysis: A Generalized Gini Approach. Freakonometrics. Retrieved February 22, 2024, from https://doi.org/10.58079/ove1

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