Co-inertia analysis of data structured in groups of individuals

This paper presents an overview of methods for the analysis of data structured in N multiblocks of variables partitioned in M multigroups of individuals. More specifically, successive generalized co-inertia analysis (SGCIA) and its dual method, which are two unifying approaches for multiblock data analysis and multigroup data analysis. Examples are given to illustrate the use of the proposed methods.

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Publication Details

Journal
Baku Mathematical Journal
Published
2025-03-30
DOI
https://doi.org/10.32010/j.bmj.2025.05
Primary Topic
Visual perception and processing mechanisms
Type
article
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article

Co-inertia analysis of data structured in groups of individuals

Gelin Chedly Louzayadio, Michel Koukouatikissa Diafouka, Rodnellin Onesime Malouata
Baku Mathematical Journal
Visual perception and processing mechanisms
article

Co-inertia analysis of data structured in groups of individuals

Gelin Chedly Louzayadio, Michel Koukouatikissa Diafouka, Rodnellin Onesime Malouata
article en

Abstract

This paper presents an overview of methods for the analysis of data structured in N multiblocks of variables partitioned in M multigroups of individuals. More specifically, successive generalized co-inertia analysis (SGCIA) and its dual method, which are two unifying approaches for multiblock data analysis and multigroup data analysis. Examples are given to illustrate the use of the proposed methods.

Baku Mathematical JournalVol. 4(1)
Openalex Percentile: Top 93%
Visual perception and processing mechanisms
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Co-inertia analysis of data structured in groups of individuals — Gelin Chedly Louzayadio, Michel Koukouatikissa Diafouka, et al. · Baku Mathematical Journal (2025) | TGRS Research Map | TGRS