The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel | Towards Data Science
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beauti...
Source: Towards Data Science
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data.