most citedMultidimensional Scaling for Interval Data: INTERSCAL

1 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME20241 cited

Correspondence Analysis for Symbolic Multi--Valued Variables

Oldemar Rodriguez

This paper sets a proposal of a new method and two new algorithms for Correspondence Analysis when we have Symbolic Multi--Valued Variables (SymCA). In our method, there are two mu…

stat.ME2024

Symbolic principal plane with Duality Centers Method

Oldemar Rodriguez

In \cite{ref11} and \cite{ref3}, the authors proposed the Centers and the Vertices Methods to extend the well known principal components analysis method to a particular kind of sym…

stat.ME20241 cited

Pyramidal Clustering Algorithms in ISO-3D Project

Oldemar Rodriguez, Edwin Diday

Pyramidal clustering method generalizes hierarchies by allowing non-disjoint classes at a given level instead of a partition. Moreover, the clusters of the pyramid are intervals of…

stat.ME2024

INTERSTATIS: The STATIS method for interval valued data

Oldemar Rodriguez, David Corrales

The STATIS method, proposed by L'Hermier des Plantes and Escoufier, is used to analyze multiple data tables in which is very common that each of the tables have information concern…

stat.ME20241 cited

Shrinkage linear regression for symbolic interval-valued variables

Oldemar Rodriguez

This paper proposes a new approach to fit a linear regression for symbolic internal-valued variables, which improves both the Center Method suggested by Billard and Diday in \cite{…

stat.ME20241 cited

Multidimensional Scaling for Interval Data: INTERSCAL

Susanne Winsberg, Oldemar Rodriguez, Edwin Diday

Standard multidimensional scaling takes as input a dissimilarity matrix of general term which is a numerical value. In this paper we input $δ_{ij}=[\underline{δ_{ij}},\ove…