From: Benjamin Auder Date: Thu, 5 Feb 2015 22:42:00 +0000 (+0100) Subject: add README.html X-Git-Url: https://git.auder.net/variants/current/doc/css/assets/pieces/%7B%7B%20targetUrl%20%7D%7D?a=commitdiff_plain;h=195af7f900ef4a29ea6e1629a9e4934539e1c9b1;p=synclust.git add README.html --- diff --git a/README b/README deleted file mode 100755 index 4a85bac..0000000 --- a/README +++ /dev/null @@ -1,16 +0,0 @@ -Author : Benjamin Auder, Christophe Giraud -Institution : Université Paris Sud (Orsay) / CNRS - -This package allow to find regions of synchronous variation for a given population species. -Two methods are available, either direct graph clustering or parameters estimations in a convex optimization problem. - -------------------------------------------- - -Main function to cluster populations data = findSyncVarRegions() - -To regenerate documentation, use R package roxygen2 - -================== - -Acknowledgements : -TODO diff --git a/README.html b/README.html new file mode 100755 index 0000000..8b45885 --- /dev/null +++ b/README.html @@ -0,0 +1,20 @@ +

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().