Adaptive affinity propagation clustering

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 33, Issue 12, 2007, Pages 1242-1246

  Wang, Kai Jun ^a   Zhang, Jun Ying ^a   Li, Dan ^a   Zhang, Xin Na ^b   Guo, Tao ^a  

^a XIDIAN UNIVERSITY   (China)

^b CHINA JILIANG UNIVERSITY   (China)

Author keywords

Adaptive clustering; Affinity propagation (AP) clustering; Large number of clusters

Indexed keywords

DAMPING; MATLAB; SCANNING;

ADAPTIVE ADJUSTMENT; ADAPTIVE CLUSTERING; AFFINITY PROPAGATION (AP); DATA SETS; OSCILLATION ELIMINATION;

CLUSTERING ALGORITHMS;

EID: 38049121041     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.1360/aas-007-1242     Document Type: Article

References (11)

1. Frey B J, Dueck D. Clustering by passing messages between data points. Science, 2007, 315(5814): 972-976.
2. Kelly K. Affinity program slashes computing times[Online], available: http://www.news.utoronto.ca/bin6/070215-2952.asp, October 25, 2007.
3. Dudoit S, Fridlyand J. A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biology, 2002, 3(7): 1-21.
4. Wang K J. Supplement of adaptive affinity propagation clustering[Online], available: http://www.mathworks.com/matlabcentral/fileexchange/ loadAuthor.do?objectType=author&objectId=1095267, October 25, 2007.
5. Yu Jian, Cheng Qian-Sheng. The upper bound of the optimal number of clusters in fuzzy clustering. Science in China, 2002, 32(2): 119-125.
6. Velamuru P K, Renaut R A, Guo H B, Chen K W. Robust clustering of positron emission tomography data. In: Joint Interface CSNA. USA: 2005.
7. Dembele D, Kastner P. Fuzzy C-means method for clustering microarray data. Bioinformatics, 2003, 19(8): 973-980.
8. Strehl A. Relationship-based Clustering and Cluster Ensembles for High-dimensional Data Mining[Ph. D. dissertation], The University of Texas at Austin, 2002.
9. Blake C L, Merz C J. UCI repository of machine learning databases (University of California)[Online], available: http://mlearn.ics.uci.edu/MLRepository.html, September 27, 2007.
10. Ben H A, Guyon I, Elisseeff A. A stability based method for discovering structure in clustered data. In: Proceedings of the 7th Pacific Symposium on Biocomputing. Hawaii, USA: 2002. 6-17.
11. Ross D T, Scherf U, Eisen M B, Perou C M, Rees C, Spellman P. Systematic variation in gene expression patterns in human cancer cell lines. Nature Genetics, 2000, 24(3): 227-235.