1 |
T. Zhang, R. Ramakrishnan, and M. Linvy, 'BIRCH: An Efficient Data Clustering Method for Large Databases,' In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 103-114, 1996
DOI
|
2 |
W. H. Beyer, CRC Standard Mathematical Tables, 28th Edition, CRC Press, 1987
|
3 |
심정욱, 손영숙, 백장선 역, 수리통계학, 제4판, 자유아카데미, 1999년
|
4 |
C. C. Aggarwal and P. S. Yu, 'Finding generalized projected clusters in high dimensional spaces,' In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 70-81, 2000
DOI
|
5 |
C. M. Procopiuc, M. Jones, P. K. Agarwal, and T. M. Murali, 'A monte carlo algorithm for fast projective clustering,' In Proceedings of the ACM SIGMOD International Conference on Management of Data, 2002
DOI
|
6 |
M. L. Yiu and N. Mamoulis, 'Frequent-Pattern based Iterative Projected Clustering,' In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), Melbourn, Florida, USA, November 2003
|
7 |
R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, 'Automatic subspace clustering of high dimensional data for data mining applications,' In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 94-105, 1998
DOI
|
8 |
L. Parsons, E. Haque, and H. Liu, 'Subspace Clustering for High Dimensional Data: A Review,' ACM SIGKDD Explorations, Vol. 6, Issue 1, pp. 90-105, June 2004
DOI
|
9 |
C. C. Aggarwal, C. M. Procopiuc, J. L. Wolf, P. S. Yu, and J. S. Park, 'Fast Algorithms for Projected Clustering,' In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 61-72, Philadelphia, PA, June 1-3, 1999
DOI
|
10 |
박종수, 김도형, '고 차원 데이터를 부분차원 클러스터링하는 효과적인 알고리즘', 정보처리학회 논문지 D, 10-D권, 3호, pp.417-426, June 2003
과학기술학회마을
DOI
|
11 |
A. K. Jain, M. N. Murty and P. J. Flynn, 'Data clustering: a review', ACM Computing Surveys, 31(3):264-323, 1999
DOI
ScienceOn
|
12 |
J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, San Francisco, CA, 2001
|