A Framework for Clustering Uncertain Data

@article{Schubert2015AFF,
  title={A Framework for Clustering Uncertain Data},
  author={Erich Schubert and Alexander Koos and Tobias Emrich and Andreas Z{\"u}fle and Klaus Arthur Schmid and Arthur Zimek},
  journal={PVLDB},
  year={2015},
  volume={8},
  pages={1976-1979}
}
The challenges associated with handling uncertain data, in particular with querying and mining, are finding increasing attention in the research community. Here we focus on clustering uncertain data and describe a general framework for this purpose that also allows to visualize and understand the impact of uncertainty—using different uncertainty models—on the data mining results. Our framework constitutes release 0.7 of ELKI (http://elki.dbs.ifi.lmu.de/) and thus comes along with a plethora of… CONTINUE READING
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