Classification of microwatersheds based on morphological characteristics

► In this study, three classification techniques, namely, K-means Cluster Analysis (KCA), Fuzzy Cluster Analysis (FCA), and Kohonen Neural Networks (KNN) were employed to group microwatersheds into homogeneous groups. ► Ten morphological parameters are used for the classification. ► Optimal number of groups is chosen, based on two cluster validation indices, Davies-Bouldin and Dunn's.