Unsupervised learning approach in defining the similarity of catchments: Hydrological response unit based k-means clustering, a demonstration on Western Black Sea Region of Turkey

Unsupervised learning approach in defining the similarity of catchments: Hydrological response unit based k-means clustering, a demonstration on Western Black Sea Region of Turkey

This study investigated the similarity of the catchments with the k-means clustering method by using the hydrological response unit (HRU) images of 33 catchments located in the Western Black Sea Region of Turkey. HRUs are the unit cells in hydrological models and these units are important because th...

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Bibliographic Details
Main Author: Ersin Aytaç
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-09-01
Series:International Soil and Water Conservation Research
Subjects:
HRU
K-means clustering
Multidimensional scaling
Orange
Silhouette score
QSWAT+
Online Access:http://www.sciencedirect.com/science/article/pii/S2095633920300277

Internet

http://www.sciencedirect.com/science/article/pii/S2095633920300277

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