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CURLER: Finding and Visualizing Nonlinear Correlation Clusters

Summary: CURLER finds and visualizes nonlinear correlation clusters in subspaces of high-dimensional data. It defines co-sharing level to fuse clusters by proximity and orientation, enabling merging of nonlinear clusters and visualization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3658
Venue
SIGMOD
Year
2005
Pagerank
4.6400142e-05
Overall Rank
7,829 | 45.54%
DOI
-

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Rank Citing Paper Year Venue Pagerank
5,760 Outlier-robust Clustering using Independent Components 2008 SIGMOD 5.3382727e-05
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