Memory effect in DBSCAN algorithm
Published • Jul 1, 2009
Authors:,,
Jian Li
Wei Yu
Baoping Yan
Abstract
As a density based clustering algorithm, DBSCAN plays an important role in data mining. Normally DBSCAN algorithm is computationally expensive, limiting its performance in large-scale data sets, especially in high dimensional data sets. The high complexity is rooted from the region queries, a very c...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!