Data Fusion: a new method based on Homogeneity Analysis - Cnam - Conservatoire national des arts et métiers
Conference Papers Year : 1997

Data Fusion: a new method based on Homogeneity Analysis

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.

Domains

Statistics [stat]
Fichier principal
Vignette du fichier
saporta_Co_ASMDA1997.pdf (459.78 Ko) Télécharger le fichier
Origin Explicit agreement for this submission

Gilbert Saporta  : Connect in order to contact the contributor

https://cnam.hal.science/hal-03082313

Submitted on : Tuesday, January 19, 2021-11:35:06 AM

Last modification on : Friday, July 19, 2024-11:38:04 AM

Long-term archiving on : Tuesday, April 20, 2021-6:06:27 PM

Download

Dates and versions

hal-03082313 , version 1 (19-01-2021)

Identifiers

  • HAL Id : hal-03082313 , version 1

Cite

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⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNAM CEDRIC-CNAM
38 View
61 Download

Share

More