Data Mining Algorithms In R/Packages/CCMtools/Info.Criterion

Description
This function computes the Information Criterion (IC) of a clustering result.

Usage
Info.Criterion(NS, DataS, r, totCL, Nc, cl)

Arguments

 * NS  Number of locations (i.e., weather stations) for the local-scale time series on which IC is calculated.


 * DataS  Dataset corresponding to local-scale (station) data on which IC is calculated. This is a matrix NS*NN, where NN is the number of days (i.e., length of the time series).


 * r  Value for which the IC is calculated (see details).


 * totCL  Vector of numbers of elements (e.g., days) in each cluster.


 * Nc  Number of clusters.


 * cl  Vector containing the sequence of clusters (length(cl) is NN).

Details
The IC is computed as $IC = Sum_i=1^K |n_i,r - (p_r * n_i)|$, where $n_i,r$ = \# of days in cluster $i$ that receive a rainfall amount > r    $p_r$ = proba of such rainy days in the whole population $n_i$ = \# of days in cluster i

Author
M. Vrac (mathieu.vrac@lsce.ipsl.fr))