Machine Learning (ML) is a set of data-driven algorithms that play a critical role in spatial problem solving in a wide range of areas, including spatial pattern detection. This workshop covers techniques in Spatial Statistics that leverage machine learning methods to perform cluster analysis. We'll cover methods such as Multivariate Clustering, Build Balanced Zones, and enhancements to Density-based Clustering to find clusters in space and time. Each technique is first explained conceptually, followed by a demonstration that showcases its use. �