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Information Journal Paper

Title

USING HIERARCHICAL CLUSTERING IN ORDER TO INCREASE EFFICIENCY OF SELF-ORGANIZING FEATURE MAP TO IDENTIFY HYDROLOGICAL HOMOGENEOUS REGIONS FOR FLOOD ESTIMATION

Pages

  1207-1218

Abstract

 Introduction: Hydrologic homogeneous group identification is considered both fundamental and applied research in hydrology. Clustering methods are among conventional methods to assess the hydrological homogeneous regions. Recently, Self Organizing feature Map (SOM) method has been applied in some studies. However, the main problem of this method is the interpretation on the output map of this approach. Therefore, SOM is used as input to other clustering algorithms. …

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    APA: Copy

    FARSADNIA, F., & GHAHREMAN, B.. (2016). USING HIERARCHICAL CLUSTERING IN ORDER TO INCREASE EFFICIENCY OF SELF-ORGANIZING FEATURE MAP TO IDENTIFY HYDROLOGICAL HOMOGENEOUS REGIONS FOR FLOOD ESTIMATION. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 29(5), 1207-1218. SID. https://sid.ir/paper/141449/en

    Vancouver: Copy

    FARSADNIA F., GHAHREMAN B.. USING HIERARCHICAL CLUSTERING IN ORDER TO INCREASE EFFICIENCY OF SELF-ORGANIZING FEATURE MAP TO IDENTIFY HYDROLOGICAL HOMOGENEOUS REGIONS FOR FLOOD ESTIMATION. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2016;29(5):1207-1218. Available from: https://sid.ir/paper/141449/en

    IEEE: Copy

    F. FARSADNIA, and B. GHAHREMAN, “USING HIERARCHICAL CLUSTERING IN ORDER TO INCREASE EFFICIENCY OF SELF-ORGANIZING FEATURE MAP TO IDENTIFY HYDROLOGICAL HOMOGENEOUS REGIONS FOR FLOOD ESTIMATION,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 29, no. 5, pp. 1207–1218, 2016, [Online]. Available: https://sid.ir/paper/141449/en

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