Some interesting subspace clustering papers

1. Clustering in Projected Spaces
   Click to view article (pdf)




2. Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
   Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan
   IBM Almaden Research Center
   Click to view article (pdf)




3. Entropy-based Subspace Clustering for Mining Numerical Data
   Chun-hung Cheng, Ada Wai-chee Fu, Yi Zhang
   Department of Computer Science and Engineering, Chinese University of Hong Kong
   Click to view article (pdf) or Click to view thesis (pdf)




4. Delta-Clusters: Capturing Subspace Correlation in a Large Data Set
   Yiong Yang, Wei Wang, Haixum Wang, Philip Yu
   IBM T. J. Watson Research Center
   Click to view article (pdf)




5. A Framework for Finding Projected Clusters in High Dimensional Spaces
   Charu C. Aggarwal, Cecilia Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park
   Click to view article (pdf)




6. Hierarchical Document Clustering Using Frequent Itemsets
   Benjamin C.M. Fung, Ke Wang, Martin Ester
   Click to view article (pdf)




7. SSDT: A Scalable Subspace-Splitting Classifier for Biased Data Haixum Wang, Philip S. Yu
   IBM T. J. Watson Research Center
   Click to view article (pdf)




8. Fast Algorithms for Projected Clustering
   Charu C. Aggarwal, Cecilia Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park
   Click to view article (pdf)




9. Subspace Clustering for Hierarchical Fuzzy System Construction
   Chong A., Gedeon T.D.
   School of Information Technology, Murdoch University
   Click to view article (pdf)




10. FINDIT: a Fast and Intelligent Subspace Clustering Algorithm using Dimension Voting
    Kyoung-Gu Woo, Jeong-Hoon Lee
    Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology
    Click to view article (pdf)




11. High Performance Subspace Clustering for Massive Data Sets
    Harsha S Nagesh
    Department of Electrical and Computer Engineering, Northwestern University, Illinois
    Click to view article (pdf)




12. MAFIA: Efficient and Scalable Subspace Clustering for Very Large Data Sets
    Sanjay Goil, Harsha Nagesh, Alok Choudhary
    Technical Report - Center for Parallel and Distributed Computing, Dept. of EE/CS Northwestern University
    Click to view article (pdf)




13. Discovery of Order Preserving Subspace Clusters in Large Data Sets
    Tao Tao, Hui Fang, Cheng Xiang Zhai, Jiong Yang
    University of Illinois at Urbana-Champaign
    Click to view article (pdf)