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CREATION
Title : The Performance Evaluation of K-Means and Agglomerative Hierarchical Clustering for Rainfall Patterns and Modelling based on Climate Data
Author :

Dr. Mardhani Riasetiawan, SE Ak, M.T. (1) Dr.techn. Ahmad Ashari, M.I.Kom. (2) PRABOWO WAHYU S (3)
Date : 13 2022
Keyword : Climate, Mitigation, Rainfall, Patterns, Modelling. Climate, Mitigation, Rainfall, Patterns, Modelling.
Abstract : The state of rainfall can be identified by using several other climate data. This paper identifies rainfall patterns using other climate data such as temperature, humidity, and sunshine duration. Clusters using K- Means and Agglomerative Hierarchical Clustering (AHC) provide the range of rainfall into three clusters. The purpose of this paper is to analyze the rainfall through the other climate data using different clustering methods. Besides that, it also evaluates the influence of different variables that take effect on rainfall cluster division. This paper evaluates the performance of clustering algorithms using metrics such as silhouette score, Calinski Harabasz score, and Davies Bouldin Score. Silhouette score correlation between rainfall (RR) and duration of sunshine (SS) has the highest score 0.5258 using AHC. Silhouette score correlation between Rainfall (RR) and Average Temperature (Tavg) has the highest 0.5198 using AHC. Finally, the silhouette score correlation between Rainfall (RR) and Average Humidity (RHavg) has the highest score of 0.44 using K-Means.
Group of Knowledge :
Level : Nasional
Status :
Published
Document
No Title Document Type Action
1 024-Mardhani (1).pdf
Document Type : Bukti Accepted
Bukti Accepted View
2 6thicitisee2022-certificate.pdf
Document Type : Artikel dan Sertifikat/Bukti Kehadiran/Pasport (jika tidak ada sertifikat)
Artikel dan Sertifikat/Bukti Kehadiran/Pasport (jika tidak ada sertifikat) View
3 The Performance Evaluation of K-Means and Agglomerative Hierarchical Clustering for Rainfall Patterns and Modelling.pdf
Document Type : Cek Similarity
Cek Similarity View
4 Full document PAK.pdf
Document Type : [PAK] Full Dokumen
[PAK] Full Dokumen View