Subspace Clustering for Uncertain Data

@inproceedings{Gnnemann2010SubspaceCF,
  title={Subspace Clustering for Uncertain Data},
  author={Stephan G{\"u}nnemann and Hardy Kremer and Thomas Seidl},
  booktitle={SDM},
  year={2010}
}
Analyzing uncertain databases is a challenge in data mining research. Usually, data mining methods rely on precise values. In scenarios where uncertain values occur, e.g. due to noisy sensor readings, these algorithms cannot deliver highquality patterns. Beside uncertainty, data mining methods face another problem: high dimensional data. For finding object groupings with locally relevant dimensions in this data, subspace clustering was introduced. For high dimensional uncertain data, however… CONTINUE READING
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