The K-means clustering algorithm based on density and ant colony

Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Volumn 1, Issue , 2003, Pages 457-460

  Peng, Yuqing ^a   Hou, Xiangdan ^a   Liu, Shang ^a  

^a HEBEI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANT ALGORITHMS; ANT COLONIES; EVOLUTIONAL METHOD; INITIAL PARAMETER; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING ALGORITHM;

CLUSTER ANALYSIS; NEURAL NETWORKS; SIGNAL PROCESSING;

CLUSTERING ALGORITHMS;

EID: 78650118794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2003.1279307     Document Type: Conference Paper

References (4)

1. Raymond T. Ng and Jiawei Han, "Efficient and Effective Clustering Methods for Spatial Data Mining", Proceedings of the 20th VLDB Conference Santiago, Chile, 1994
2. P.S Bradley, Usama M. Fayyad., "Refilling Initial Points for K-Means Clustering.", Advances in Knowledge Discovery and Data Mining. MIT Press, 1996
3. N. Monmarchè, M. Slimance., "AntClass: Discovery of Clusters in Numeric Data by a Hybridization of an Ant Colony with the Kmeans Algorithm.", http://citeseer.nj.nec.com/monmarche99.html, 1999
4. A.E. Langham and P.W. Grant, "A Multilevel k -way Partitioning Algorithm for Finite Element Meshes Using Competing Ant Colonies", Technical Report CSRl-99, Dept. of Computer Science University of Wales Swansea, 1999