Corpus ID: 43614596

A dynamic method for discovering density varied clusters

@inproceedings{Elbatta2013ADM,
  title={A dynamic method for discovering density varied clusters},
  author={Mohammed T. H. Elbatta and W. Ashour},
  year={2013}
}
Density-based spatial clustering of applications with noise (DBSCAN) is a base algorithm for density based clustering. It can find out the clusters of different shapes and sizes from a large amount of data, which is containing noise and outliers. However, it fails to handle the local density variation that exists within the cluster. Thus, a good clustering method should allow a significant density variation within the cluster because, if we go for homogeneous clustering, a large number of… Expand

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