AI, Machine Learning, Unsupervised Learning.
Clustering of Applications with Noise) It’s used to identify clusters as dense regions separated by sparser areas in the data space. The model assigns each data point as a core point, border point, or noise point based on density criteria, and then connects core points to form clusters.