Clustering of rainfall data using k-means algorithm

• Main Authors: Mohd Sham, Mohamad, Yuhani, Yusof, Ku Muhammad Na’im, Ku Khalif, Mohd Khairul Bazli, Mohd Aziz
• Format: Conference or Workshop Item
• Language: English; English
• Published: GEOMATE 2019
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/25685/1/37.%20Clustering%20of%20rainfall%20data%20using%20k-means%20algorithm.pdf; http://umpir.ump.edu.my/id/eprint/25685/2/37.1%20Clustering%20of%20rainfall%20data%20using%20k-means%20algorithm.pdf; http://umpir.ump.edu.my/id/eprint/25685/
• Institution: Universiti Malaysia Pahang

Clustering algorithms in data mining is the method for extracting useful information for a given data. It can precisely analyze the volume of data produced by modern applications. The main goal of clustering is to categorize data into clusters according to similarities, traits and behavior. This stu...