k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSIS-Reference-Cited by-同舟云学术

k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSIS

Published:2011-02-28 Issue:2 Volume:25 Page:97-115
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Kanellopoulos Y.,Antonellis P.,Tjortjis C.,Makris C.,Tsirakis N.

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

http://www.tandfonline.com/doi/pdf/10.1080/08839514.2011.534590

Reference17 articles.

1. Agarwal , R. , and Srikant , R. 1994 . Fast algorithms for mining association rules in large databases . InProceedings of 20th International Conference VLDB, 487 – 499 . Santiago de Chile. Chile: Morgan Kaufman.

2. Fung , B. C. M. , Wang , K. , and Ester , M. 2003 . Hierarchical document clustering using frequent itemsets . InProceedings of the 3rd SIAM International Conference on Data Mining. San Francisco, CA: SIAM.

3. Han , E. H. , Karypis , G. , Kumar , V. , and Mobasher , B. 1997 . Clustering based on association rule hypergraphs . InResearch Issues on Data Mining and Knowledge Discovery. Tuscon, AZ: ACM .

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