A data set oriented approach for clustering algorithm selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2168, Issue , 2001, Pages 165-179

  Halkich, Maria ^a   Vazirgiannis, Michalis ^a  

^a ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

CLUSTERING CRITERIA; CLUSTERING SCHEME; CLUSTERING VALIDITY; DATA SET; DIVERSE DOMAINS; SYNTHETIC AND REAL DATA; VALIDITY INDEX;

CLUSTERING ALGORITHMS;

EID: 47649129920     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44794-6_14     Document Type: Conference Paper

References (17)

1. Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan, “Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications”, Proceedings of SIGMOD, 1998.
2. Michael J. A. Berry, Gordon Linoff. Data Mining Techniques For marketing, Sales and Customer Support. John Willey & Sons, Inc, 1996.
3. Martin Ester, Hans-Peter Kriegel, Jorg Sander, Michael Wimmer, Xiaowei Xu. "Incremental Clustering for Mining in a Data Warehousing Environment", Proceedings of 24th VLDB Conference, New York, USA, 1998.
4. Martin Ester, Hans-Peter Kriegel, Jorg Sander, Xiaowei Xu. "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise", Proceedings of 2nd Int. Conf. On Knowledge Discovery and Data Mining, Portland, OR, pp. 226-231, 1996.
5. Usama M. Fayyad, Gregory Piatesky-Shapiro, Padhraic Smuth and Ramasamy Uthurusamy. Advances in Knowledge Discovery and Data Mining. AAAI Press 1996
6. Sudipto Guha, Rajeev Rastogi, Kyueseok Shim. "CURE: An Efficient Clustering Algorithm for Large Databases", Published in the Proceedings of the ACM SIGMOD Conference, 1998.
7. Sudipto Guha, Rajeev Rastogi, Kyueseok Shim. "ROCK: A Robust Clustering Algorithm for Categorical Attributes", Published in the Proceedings of the IEEE Conference on Data Engineering, 1999.
8. Alexander Hinneburg, Daniel Keim. "An Efficient Approach to Clustering in Large Multimedia Databases with Noise". Proceeding of KDD '98, 1998.
9. A. K Jain, M. N. Murty, P. J. Flyn. “Data Clustering: A Review”, ACM Computing Surveys, Vol. 31, No3, September 1999.
10. Milligan, G. W. and Cooper, M. C. (1985), "An Examination of Procedures for Determining the Number of Clusters in a Data Set", Psychometrika, 50, 159-179.
11. Raymond Ng, Jiawei Han. "Efficient and Effective Clustering Methods for Spatial Data Mining". Proceeding of the 20th VLDB Conference, Santiago, Chile, 1994.
12. C. Sheikholeslami, S. Chatterjee, A. Zhang. "WaveCluster: A-MultiResolution Clustering Approach for Very Large Spatial Database". Proceedings of 24th VLDB Conference, New York, USA, 1998.
13. Sharma S. C. Applied Multivariate Techniques. John Willwy & Sons, 1996.
14. S. Theodoridis, K. Koutroubas. Pattern recognition, Academic Press, 1999
15. M. Halkidi, M. Vazirgiannis, I. Batistakis. "Quality scheme assessment in the clustering process", In Proceedings of PKDD, Lyon, France, 2000.
16. Ramze Rezaee, B. P. F. Lelieveldt, J. H. C Reiber. "A new cluster validity index for the fuzzy c-mean", Pattern Recognition Letters, 19, pp237-246, 1998.
17. Y. Theodoridis. Spatial Datasets: an "unofficial" collection. http://dias. cti. gr/~ytheod/research/datasets/spatial. html