参考文章(33)
PHIPPS ARABIE, LAWRENCE J. HUBERT, AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS WORLD SCIENTIFIC. pp. 5- 63 ,(1996) , 10.1142/9789812832153_0002
Usama Fayyad, Cory Reina, P. S. Bradley, Scaling clustering algorithms to large databases knowledge discovery and data mining. pp. 9- 15 ,(1998)
John C. Shafer, Rakesh Agrawal, Manish Mehta, SPRINT: A Scalable Parallel Classifier for Data Mining very large data bases. pp. 544- 555 ,(1996)
Tomasz Imielinski, Arun N. Swami, Balakrishna R. Iyer, Rakesh Agrawal, Sakti P. Ghosh, An Interval Classifier for Database Mining Applications very large data bases. pp. 560- 573 ,(1992)
Usama Fayyad, Cory Reina, P. S. Bradley, Initialization of iterative refinement clustering algorithms knowledge discovery and data mining. pp. 194- 198 ,(1998)
Alexander Hinneburg, Daniel A. Keim, Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering very large data bases. pp. 506- 517 ,(1999)
JEROME H. FRIEDMAN, NICHOLAS I. FISHER, Bump hunting in high-dimensional data Statistics and Computing. ,vol. 9, pp. 123- 143 ,(1999) , 10.1023/A:1008894516817
Richard R. Muntz, Jiong Yang, Wei Wang, STING: A Statistical Information Grid Approach to Spatial Data Mining very large data bases. pp. 186- 195 ,(1997)
Raymond T. Ng, Jiawei Han, Efficient and Effective Clustering Methods for Spatial Data Mining very large data bases. pp. 144- 155 ,(1994)
Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang, WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases very large data bases. pp. 428- 439 ,(1998)