Projection under pairwise distance control
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
Permalink :
Title :
Projection under pairwise distance control
Author(s) :
Alawieh, Hiba [Auteur]
Wicker, Nicolas [Auteur]
Laboratoire Paul Painlevé - UMR 8524
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Biernacki, Christophe [Auteur]
Wicker, Nicolas [Auteur]

Laboratoire Paul Painlevé - UMR 8524
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Biernacki, Christophe [Auteur]

Conference title :
9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016)
City :
Séville
Country :
Espagne
Start date of the conference :
2016-12-09
Publication date :
2016-12-09
HAL domain(s) :
Statistiques [stat]/Méthodologie [stat.ME]
English abstract : [en]
Visualization of high-dimensional and possibly complex (non continuous for instance) data onto a low-dimensional space may be difficult. Several projection methods have been already proposed for displaying such high-dimensional ...
Show more >Visualization of high-dimensional and possibly complex (non continuous for instance) data onto a low-dimensional space may be difficult. Several projection methods have been already proposed for displaying such high-dimensional structures on a lower-dimensional space, but information lost on initial data is not always easy to use. A new projection paradigm is presented to describe a non-linear projection method that takes into account the projection quality of each projected point in the reduced space, this quality being directly available in the same scale as this reduced space. More specifically, this novel method allows a straightforward visualization data in R^2 with a simple reading of the approximation quality, and provides then a novel variant of dimensionality reduction.Show less >
Show more >Visualization of high-dimensional and possibly complex (non continuous for instance) data onto a low-dimensional space may be difficult. Several projection methods have been already proposed for displaying such high-dimensional structures on a lower-dimensional space, but information lost on initial data is not always easy to use. A new projection paradigm is presented to describe a non-linear projection method that takes into account the projection quality of each projected point in the reduced space, this quality being directly available in the same scale as this reduced space. More specifically, this novel method allows a straightforward visualization data in R^2 with a simple reading of the approximation quality, and provides then a novel variant of dimensionality reduction.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CNRS
Université de Lille
Université de Lille
Submission date :
2020-06-08T14:10:18Z