This study aims to identify patterns in the relationship between the number of school buses and the number of school passengers in Jakarta during the 2017–2019 period using an unsupervised learning approach. Four clustering algorithms K-Means, Fuzzy C-Means, Gaussian Mixture Model, and Spectral Clustering were applied to group the data, all of which produced two optimal clusters. Among these …