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20082017
most citedClustGeo: an R package for hierarchical clustering with spatial constraints

161 citations · 280 across the 5 of their papers we have counts for

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stat.CO2017★ 161 cited

ClustGeo: an R package for hierarchical clustering with spatial constraints

Marie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne +1

In this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices and are inputted, along w…

stat.CO2014

Multivariate Analysis of Mixed Data: The R Package PCAmixdata

Marie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne +1

Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends to this type of data standard multivariate an…

stat.CO2011★ 55 cited

Orthogonal rotation in PCAMIX

M. Chavent, K. Vanessa, J. Saracco

Kiers (1991) considered the orthogonal rotation in PCAMIX, a principal component method for a mixture of qualitative and quantitative variables. PCAMIX includes the ordinary princi…

stat.CO2011★ 43 cited

ClustOfVar: An R Package for the Clustering of Variables

M. Chavent, V. Kuentz, B. Liquet +1

Clustering of variables is as a way to arrange variables into homogeneous clusters, i.e., groups of variables which are strongly related to each other and thus bring the same infor…

stat.CO2008★ 20 cited

On central tendency and dispersion measures for intervals and hypercubes

Marie Chavent, Jérôme Saracco

The uncertainty or the variability of the data may be treated by considering, rather than a single value for each data, the interval of values in which it may fall. This paper stud…