Search Results - "Lechevallier, Yves"

Using Hybrid Clustering to Approximate Fastest Paths on Urban Networks by Awasthi, Anjali, Lechevallier, Yves, Parent, Michel, Proth, Jean-Marie

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Partitional clustering algorithms for symbolic interval data based on single adaptive distances by De Carvalho, Francisco de A.T., Lechevallier, Yves

“…This paper introduces dynamic clustering methods for partitioning symbolic interval data. These methods furnish a partition and a prototype for each cluster by…”
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The anti-bouncing data stream model for web usage streams with intralinkings by Zhang, Chongsheng, Masseglia, Florent, Lechevallier, Yves

“…Web usage mining is a significant research area with applications in various fields. However, Web usage data is usually considered streaming, due to its high…”
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A multi-view relational fuzzy c-medoid vectors clustering algorithm by de Carvalho, Francisco de A.T., de Melo, Filipe M., Lechevallier, Yves

“…This paper gives a multi-view relational fuzzy c-medoid vectors clustering algorithm that is able to partition objects taking into account simultaneously…”
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DIVCLUS-T: A monothetic divisive hierarchical clustering method by Chavent, Marie, Lechevallier, Yves, Briant, Olivier

“…DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a…”
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Exploratory analysis of functional data via clustering and optimal segmentation by Hébrail, Georges, Hugueney, Bernard, Lechevallier, Yves, Rossi, Fabrice

“…We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each…”
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Adaptive Hausdorff distances and dynamic clustering of symbolic interval data by de Carvalho, Francisco de A.T., de Souza, Renata M.C.R., Chavent, Marie, Lechevallier, Yves

“…This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are…”
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Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices by de Carvalho, Francisco de A.T., Lechevallier, Yves, de Melo, Filipe M.

“…This paper introduces fuzzy clustering algorithms that can partition objects taking into account simultaneously their relational descriptions given by multiple…”
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Partitioning hard clustering algorithms based on multiple dissimilarity matrices by de Carvalho, Francisco de A.T., Lechevallier, Yves, de Melo, Filipe M.

“…This paper introduces hard clustering algorithms that are able to partition objects taking into account simultaneously their relational descriptions given by…”
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Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances by de A.T. de Carvalho, F., Lechevallier, Y.

“…This paper presents partitioning dynamic clustering methods for interval-valued data based on suitable adaptive quadratic distances. These methods furnish a…”
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Nonlinear multicriteria clustering based on multiple dissimilarity matrices by Queiroz, Sergio, de Carvalho, Francisco de A.T., Lechevallier, Yves

“…We present a new algorithm capable of partitioning sets of objects by taking simultaneously into account their relational descriptions given by multiple…”
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Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ2 Distance and Correspondence Analysis by Ciampi, Antonio, Dyachenko, Alina, Gonzalez-Marcos, Ana, Lechevallier, Yves

“…We developed an approach to two-way classification based on the χ 2 distance and Correspondence Analysis. We present, in particular, two classification…”
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Two-Way Classification of a Data Table with Non Negative Entries: The Role of the [chi]2 Distance and Correspondence Analysis by Ciampi, Antonio, Dyachenko, Alina, Gonzalez-Marcos, Ana, Lechevallier, Yves

“…We developed an approach to two-way classification based on the χ2 distance and Correspondence Analysis. We present, in particular, two classification…”
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Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ 2 Distance and Correspondence Analysis by Ciampi, Antonio, Dyachenko, Alina, Gonzalez-Marcos, Ana, Lechevallier, Yves

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Clustering constrained symbolic data by de Carvalho, Francisco de A.T., Csernel, Marc, Lechevallier, Yves

“…Dealing with multi-valued data has become quite common in both the framework of databases as well as data analysis. Such data can be constrained by domain…”
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DIVCLUS-T : A monothetic divisive hierarchical clustering method : Statistical algorithms and software by CHAVENT, Marie, LECHEVALLIER, Yves, BRIANT, Olivier

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New clustering methods for interval data by Chavent, Marie, de Carvalho, Francisco de A. T., Lechevallier, Yves, Verde, Rosanna

“…In this paper we propose two clustering methods for interval data based on the dynamic cluster algorithm. These methods use different homogeneity criteria as…”
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Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets by Ciampi, Antonio, Lechevallier, Yves, Limas, Manuel Castejón, Marcos, Ana González

“…The problem of clustering subpopulations on the basis of samples is considered within a statistical framework: a distribution for the variables is assumed for…”
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Adaptative Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data by de Carvalho, Francisco de A.T., de Souza, Renata M.C.R., Chavent, Marie, Lechevallier, Yves

“…This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are…”
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Constrained variable clustering and the best basis problem in functional data analysis by Rossi, Fabrice, Lechevallier, Yves

“…Classification and Multivariate Analysis for Complex Data Structures 435-444 (2011) Functional data analysis involves data described by regular functions…”
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