36 results about "Dbscan clustering" patented technology

DBSCAN Clustering. DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means. In k-means clustering, each cluster is represented by a centroid, and points are assigned to whichever centroid they are closest to. In DBSCAN, there are no centroids, and clusters are formed by linking nearby points to one another.