{'fraction_non_alphanumeric': 0.01652892561983471, 'fraction_numerical': 0.009767092411720512, 'mean_word_length': 4.893805309734513, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Application of K-Means Cluster Analysis for Magnetic Susceptibility Zoning of Urban Topsoil in Bandung City

Bandung is one of the metropolitan cities in Indonesia which has a dense population. As a result, the number of vehicles is increasing, which causes an abundance of particulates on the urban topsoil. Motor vehicle particulates can be identified through the value of magnetic susceptibility. The greater the magnetic susceptibility value on the topsoil, the more magnetic minerals are associated with the number of particulates produced by vehicles. To zone the value of magnetic susceptibility in an area, a clustering method is needed. In this study, magnetic susceptibility zoning analysis was conducted using the K-mean cluster method. The data processing results on 38 samples divided into three clusters showed that 12 samples were in cluster 1, 23 samples were in cluster 2, and 3 samples were in cluster 3. The samples in each cluster were influenced by the magnetic susceptibility value between the sample centre and the neighbouring samples. The validation of the clustering results is shown through the F test, which shows that the calculated F is greater than the F table at a significance level of 0.05. Thus, it can be said that there is an association between the magnetic susceptibility values in a cluster.