OPTICS: ordering points to identify the clustering structure

@inproceedings{Ankerst1999OPTICSOP,
  title={OPTICS: ordering points to identify the clustering structure},
  author={Mihael Ankerst and Markus M. Breunig and Hans-Peter Kriegel and J{\"o}rg Sander},
  booktitle={ACM SIGMOD Conference},
  year={1999}
}
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysis and data processing, or as a preprocessing step for other algorithms operating on the detected clusters. Almost all of the well-known clustering algorithms require input parameters which are hard to determine but have a significant influence on the clustering result. Furthermore, for many real-data sets there does… 

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