This view colours each property and clustered area by property price. Darker red means more expensive homes. Green means lower-priced homes.
Circle size still represents land area. Cluster bubbles show the average price of homes inside that cluster.
This view groups homes using KMeans based on location, price, bedrooms, bathrooms, garage, land area, and floor area. The colours represent interpreted house types.
The group names are interpretation labels. The model only produces numeric clusters; the names are assigned to make the map easier to understand.
This layer highlights nearby homes with a large price difference. It is useful for finding possible local price boundaries or transition zones.
Current rule: homes within 500m and price difference of at least $250,000. This is spatial anomaly detection, not supervised classification.