Clustering

Clustering is a technique for grouping similar vectors together into clusters. There are several clustering algorithms that can be used for this purpose, including:

• K-Means clustering: This algorithm works by initializing a set of centroids, and then iteratively updating the centroids and assigning each vector to the closest centroid.
• Hierarchical clustering: This algorithm works by building a hierarchy of clusters, starting from individual vectors and merging clusters until a desired level of granularity is reached.
• DBSCAN clustering: This algorithm works by selecting a set of "core" points, and then expanding a ball around each core point to find other points that are within a certain distance.