Alternative Clustering in Subspace Projections
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Alternative Clustering in Subspace Projections

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Description

Modern storage systems allow to capture data in its full complexity. As implication for the data mining task of clustering, multiple, alternative, and valid clusterings can be identified for a single dataset. A second observation is that clustering based on all attributes, in the full-space, is futile, but valuable cluster patterns can be found for subsets of attributes. This thesis contributes novel methods for detecting multiple, alternative clusterings in subspace projections of the data.show more

Product details

  • Paperback | 314 pages
  • 146 x 208 x 20mm | 444g
  • Apprimus Wissenschaftsver
  • English
  • 3863593685
  • 9783863593681