Get started
Author

Yves Lechevallier B

Observed names: LECHEVALLIER Y., LECHEVALLIER, Yves, Lechevallier Y., Lechevallier, Y, Lechevallier, Y., Lechevallier, Yves, Y Lechevallier, Y. LECHEVALLIER, Y. Lechevallier, Yves Lechevallier, Yves Lechevallier C, y Lechevallier
Observed institutions: Université de Technologie de Compiègne, Conservatoire National des Arts et Métiers, Renault (France), Institut national de recherche en sciences et technologies du numérique, Universidade Federal de Pernambuco, University Ferhat Abbas of Setif, Heuristics and Diagnostics for Complex Systems, Centre Inria d'Université Côte d'Azur, National School of Computer Science, McGill University
OpenAlex ID: A5110144643
New Approaches in Classification and Data Analysis
1994 · Diday, Edwin, Lechevallier, Yves, et al. · Studies in classification, data analysis, and knowledge organization · 237
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
2005 · Francisco de A.T. de Carvalho, Renata M.C.R. de Souza, et al. · Pattern Recognition Letters · 183
Dynamical Clustering of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance
2002 · Marie Chavent, Yves Lechevallier · Studies in classification, data analysis, and knowledge organization · 99
New clustering methods for interval data
2006 · Marie Chavent, Francisco de A. T. de Carvalho, et al. · Computational Statistics · 94
Partitioning hard clustering algorithms based on multiple dissimilarity matrices
2011 · Francisco de A.T. de Carvalho, Yves Lechevallier, et al. · Pattern Recognition · 84
Partitional clustering algorithms for symbolic interval data based on single adaptive distances
2008 · Francisco de A.T. De Carvalho, Yves Lechevallier · Pattern Recognition · 81
DIVCLUS-T: A monothetic divisive hierarchical clustering method
2007 · Marie Chavent, Yves Lechevallier, et al. · Computational Statistics & Data Analysis · 70
Ordinal and Symbolic Data Analysis
1996 · Edwin Diday, Yves Lechevallier, et al. · Studies in classification, data analysis, and knowledge organization · 51
Clustering in Pattern Recognition
1981 · E. Diday, G. Govaert, et al. · Springer eBooks · 49
Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances
2009 · Francisco de A. T. de Carvalho, Yves Lechevallier · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 47
Exploratory analysis of functional data via clustering and optimal segmentation
2010 · Georges Hébrail, Bernard Hugueney, et al. · Neurocomputing · 40
PDF
Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices
2012 · Francisco de A.T. de Carvalho, Yves Lechevallier, et al. · Fuzzy Sets and Systems · 36
A Flexible Structured-Based Representation for XML Document Mining
2006 · Anne-Marie Vercoustre, Mounir Fegas, et al. · Lecture notes in computer science · 35
PDF
Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle
2003 · Marie Chavent, Fabiano de Carvalho, et al. · Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" · 31
Clustering Large, Multi-level Data Sets: An Approach Based on Kohonen Self Organizing Maps
2000 · Antonio Ciampi, Yves Lechevallier · Lecture notes in computer science · 30
A multi-view relational fuzzy c-medoid vectors clustering algorithm
2015 · Francisco de A.T. de Carvalho, Filipe M. de Melo, et al. · Neurocomputing · 29
Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distances
2004 · Renata M.CR. Souza, Francisco A. T. de Carvalho, et al. · Springer eBooks · 25
Mining Web Usage Data for Discovering Navigation Clusters
2006 · A. da Silva, Y. Lechevallier, et al. · IEEE Symposium on Computers and Communications (ISCC) · 24
Clustering constrained symbolic data
2009 · Francisco de A.T. de Carvalho, Marc Csernel, et al. · Pattern Recognition Letters · 21
A Dynamical Clustering Algorithm for Multi-nominal Data
2000 · Rosanna Verde, Francisco de A. T. de Carvalho, et al. · Studies in classification, data analysis, and knowledge organization · 18
Méthodes divisives de classification et segmentation non supervisée : recherche d'une typologie de la peau humaine saine
1999 · Marie Chavent, Christiane Guinot, et al. · French digital mathematics library (Numdam) · 15
Rule based prediction of fastest paths on urban networks
2005 · A. Awasthi, Y. Lechevallier, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 14
Statistical models as building blocks of neural networks
1997 · Antonio Ciampi, Yves Lechevallier · Communication in Statistics- Theory and Methods · 14
On the Number of Clusters in Block Clustering Algorithms
2010 · Malika Charrad, Yves Lechevallier, et al. · 13
Block Clustering for Web Pages Categorization
2009 · Malika Charrad, Yves Lechevallier, et al. · Lecture notes in computer science · 13
Works count: 231
Citation count: 1,636
H-index: 19
I10-index: 30
Year
Topic
Type