From: Benjamin Auder Date: Fri, 22 Jul 2016 16:35:04 +0000 (+0200) Subject: readme.md X-Git-Url: https://git.auder.net/variants/Chakart/pieces/img/scripts/DESCRIPTION?a=commitdiff_plain;h=dab5fbe952aa311f3d53bf3799263d46a2f44acd;p=synclust.git readme.md --- diff --git a/README.html b/README.html deleted file mode 100755 index 8b45885..0000000 --- a/README.html +++ /dev/null @@ -1,20 +0,0 @@ -

Clustering into regions of synchronous variations

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Joint work with Christophe Giraud.

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This R package implements a clustering method described in detail in this article.

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The goal is to divide a map of observational sites into regions of similar intra-variability over the years, but -with distinct dynamics compared to other regions. -The problem has both spatial (the sites) and temporal (measurements every year) aspects, and is difficult because -there are no a priori indications about the regions.

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Two (heuristic) methods are available in the package, either direct graph clustering or parameters estimation -in a model-based formulation of the problem.

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-Main function to cluster populations data: findSyncVarRegions().

diff --git a/README.md b/README.md new file mode 100755 index 0000000..3cde5c8 --- /dev/null +++ b/README.md @@ -0,0 +1,19 @@ +# Clustering into regions of synchronous variations + +Joint work with [Christophe Giraud](http://www.cmap.polytechnique.fr/~giraud/). + +--- + +This R package implements a clustering method described in detail in [this article](http://www.cmap.polytechnique.fr/~giraud/SynchronousPop.pdf). + +The goal is to divide a map of observational sites into regions of similar intra-variability over the years, but +with distinct dynamics compared to other regions. +The problem has both spatial (the sites) and temporal (measurements every year) aspects, and is difficult because +there are no a priori indications about the regions. + +--- + +Two (heuristic) methods are available in the package, either direct graph clustering or parameters estimation +in a model-based formulation of the problem. + +Main function to cluster populations data: `findSyncVarRegions()`.