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)) See Also /CCM/