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Data Fusion: a new method based on Homogeneity Analysis

Gilbert Saporta 1 Vila Co
1 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : Data fusion consists in estimating blocks of missing variables for a set of observations. After a short overview of the problem, we present an application of the criterium of homogeneity analysis for the case of categorical data.
Keywords : data fusion correspondence analysis homogeneity analysis missing data data fusion
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https://hal-cnam.archives-ouvertes.fr/hal-03082313
Contributor : Gilbert Saporta <>
Submitted on : Tuesday, January 19, 2021 - 11:35:06 AM
Last modification on : Wednesday, January 20, 2021 - 3:16:45 AM

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  • HAL Id : hal-03082313, version 1

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Gilbert Saporta, Vila Co. Data Fusion: a new method based on Homogeneity Analysis. VIII International Symposium on Applied Stochastic Models and Data Analysis, Jun 1997, Anacapri, Italy. pp.395-399. ⟨hal-03082313⟩

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