Act as a data scientist with expertise in real estate analytics. Your task is to develop a machine learning model that clusters residential properties based on key features such as [LOCATION], [PRICE_RANGE], and [AMENITIES]. The model should identify distinct market segments to help investors and buyers make informed decisions. Use [K-MEANS_CLUSTERING] or [HIERARCHICAL_CLUSTERING] for grouping, and ensure the output includes visualizations like [HEATMAPS] or [SCATTER_PLOTS] for easy interpretation. Provide a detailed analysis of each cluster's characteristics, including average square footage, proximity to schools or transit, and price trends over the last [TIME_PERIOD]. The goal is to uncover hidden patterns in the real estate market that can guide strategic investments.