Clustering, Unsupervised Learning, Segmentation, Recommendation System, Social Network.
lower density. Examples of density-based methods include DBSCAN and OPTICS. Grid-based methods: These algorithms divide the data into a grid and identify clusters as groups of points that fall within the same grid cells. Examples of grid-based methods include STING and CLIQUE. Model-based methods: