A systematic approach for regionalization of environmental model parameters

In this work, we propose an integrated regionalization framework, BHC_CA, which combines behavioral hierarchical clustering (BHC) with classification (C) and aggregation (A) methods . The hierarchical clustering algorithm used in this framework has an innovative similarity metric that groups datapoints based on behavioral similarity in data.