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Found 3 papers, 1 papers with code
Supervised Learning for Multi-Block Incomplete Data
In the supervised high dimensional settings with a large number of variables and a low number of individuals, one objective is to select the relevant variables and thus to reduce the dimension.
ClustGeo: an R package for hierarchical clustering with spatial constraints
In this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/geographical constraints.
Multivariate Analysis of Mixed Data: The R Package PCAmixdata
Mixed data arise when observations are described by a mixture of numerical and categorical variables.
Computation
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