Rainfall Analysis in Semarang City Using K-Means and Agglomerative Hierarchical Clustering Methods

The state of rainfall can be identified by using several other climate data. This paper analyzes the characteristic cause factor of rainfall in Semarang City through several climate data, such as temperature and humidity, using AHC and K-Means. Clus- tering methods divide the range of rainfall in...

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Bibliographic Details
Main Authors: Sudarno, Prabowo Wahyu, Ashari, Ahmad, Riasetiawan, Mardhani
Format: Other NonPeerReviewed
Language:English
Published: ICIC Express Letters, Part B: Applications 2022
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Online Access:https://repository.ugm.ac.id/282662/1/RAINFALL-ANALYSIS-IN-SEMARANG-CITY-USING-KMEANS-AND-AGGLOMERATIVE-HIERARCHICAL-CLUSTERING-METHODSICIC-Express-Letters-Part-B-Applications.pdf
https://repository.ugm.ac.id/282662/
https://cir.nii.ac.jp/crid/1390012191593356160
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Institution: Universitas Gadjah Mada
Language: English