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

## Description

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

## Usage

editInfo.Criterion(NS, DataS, r, totCL, Nc, cl)

## Arguments

edit- 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

editThe 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

editM. Vrac (mathieu.vrac@lsce.ipsl.fr))