add alternative approach from 2013-01
[synclust.git] / README.md
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1# Clustering into regions of synchronous variations
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3Joint work with [Christophe Giraud](http://www.cmap.polytechnique.fr/~giraud/).
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7This R package implements a clustering method described in detail in [this article](http://www.cmap.polytechnique.fr/~giraud/SynchronousPop.pdf).
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9The goal is to divide a map of observational sites into regions of similar intra-variability over the years, but
10with distinct dynamics compared to other regions.
11The problem has both spatial (the sites) and temporal (measurements every year) aspects, and is difficult because
12there are no a priori indications about the regions.
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16Two (heuristic) methods are available in the package, either direct graph clustering or parameters estimation
17in a model-based formulation of the problem.
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19Main function to cluster populations data: `findSyncVarRegions()`.