CLIQUE: Grid-based Subspace Clustering, a presentation made as a part of University assignment
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CLIQUE: Grid-based Subspace Clustering, a presentation made as a part of University assignment
Data mining applications place special requirements on clustering algorithms including: the ability to find clusters embedded in subspaces of high dimensional data, scalability, end-user comprehensibility of the results, non-presumption of any canonical data distribution, and insensitivity to the order of input records. We present CLIQUE, a ...
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