Comparing Clusterings-An Overview ∗

@inproceedings{Wagner2007ComparingCO,
  title={Comparing Clusterings-An Overview ∗},
  author={Silke Wagner and Dorothea Wagner},
  year={2007}
}
As the amount of data we nowadays have to deal with becomes larger and larger, the methods that help us to detect structures in the data and to identify interesting subsets in the data become more and more important. One of these methods is clustering, i.e. segmenting a set of elements into subsets such that the elements in each subset are somehow ”similiar” to each other and elements of different subsets are ”unsimilar”. In the literature we can find a large variety of clustering algorithms… CONTINUE READING
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