Data Science, Artificial Intelligence, Machine Learning, Python, Programming.
This means it clusters data points together based on their proximity and density. Thus, areas with high-density of data points and separated by areas with low-density points are considered as its output. What’s more, DBSCAN, unlike KMeans, does not require you to specify the number of clusters as a