An Improved Density-based DBSCAN Clustering Algorithm
Chunhong Duo · Journal of Guangxi Normal University · 2007
The paper mainly discusses a clustering algorithm based on density in data mining,and improves DBSCAN algorithm.Sampling-based DBSCAN can reduce the size of the database,and save a lot of time.Genetic algorithm can optimize clustering result,and ensure clustering quality.It presents SDGO algorithm(a Sampling-based DBSCAN algorithm with Genetic Optimization).The end of the paper is the experimentation for the algorithm's efficiency.