Today I read about DBSCAN:
DBSCAN is a method used in statistics to group similar data points together. It’s good at finding clusters even if they don’t have a specific shape and can handle noisy data.
Here’s how it works in simple terms:
- Start with a data point and check if there are other nearby points (within a certain distance).
- If there are enough nearby points, consider them part of a group.
- Keep checking nearby points and expanding the group until you can’t find any more nearby points.
- Any data points left alone are considered outliers.
DBSCAN is handy because it can find clusters of different shapes and sizes, and you don’t need to tell it how many clusters to look for in advance. It could speed up the analysis process as the police database is very large