Journal
KNOWLEDGE AND INFORMATION SYSTEMS
Volume 21, Issue 3, Pages 299-326Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s10115-009-0226-y
Keywords
Subspace clustering; Projected clustering
Funding
- Alberta Ingenuity Fund
- iCORE Circle of Research Excellence
- NSERC
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Subspace and projected clustering have emerged as a possible solution to the challenges associated with clustering in high-dimensional data. Numerous subspace and projected clustering techniques have been proposed in the literature. A comprehensive evaluation of their advantages and disadvantages is urgently needed. In this paper, we evaluate systematically state-of-the-art subspace and projected clustering techniques under a wide range of experimental settings. We discuss the observed performance of the compared techniques, and we make recommendations regarding what type of techniques are suitable for what kind of problems.
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