Cluster Analysis using K-Means Algorithm and Centroid Linkage for Indonesia Crime Data 2021
Analisis Cluster Menggunakan Algoritma K-Means dan Centroid Linkage pada Data Kriminalitas Indonesia Tahun 2021
Keywords:
crime, k-means, centroid linkageAbstract
Crime is anything that violates the law or a crime. There are various types of crimes, such as crimes against life, physical, corruption, and so on. One method that can be used to analyze crime data is the cluster analysis method, a multivariate analysis technique that aims to cluster observational data or variables into groups with close proximity and a high degree of similarity. The purpose of the clustering is to find out areas that have similar types of crime and to reduce the number of crimes in Indonesia that often occur. In cluster analysis, there are two methods, namely hierarchical and non-hierarchical cluster methods. In this study, the Centroid Linkage and K-Means methods were used with a number of clusters 2. Based on cluster analysis, provinces in Indonesia can be grouped according to crime intensity in 2020. The average of each variable in the cluster members is used to determine the characteristics and name of the cluster.
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