IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives. (arXiv:2202.07870v1 [cs.LG])

DBSCAN is a fundamental density-based clustering technique that identifies
any arbitrary shape of the clusters. However, it becomes infeasible while
handling big data. On the other hand, centroid-based clustering is important
for detecting patterns in a dataset since unprocessed data points can be
labeled to their nearest centroid. However, it can not detect non-spherical
clusters. For a large data, it is not feasible to store and compute labels of
every samples. These can be done as and when the information …

arxiv data dbscan incremental scale