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IJCNN
2000
IEEE
13 years 11 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
14 years 21 days ago
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...
Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wan...
ICPR
2008
IEEE
14 years 1 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
ICPR
2008
IEEE
14 years 1 months ago
Partial closure-based constrained clustering with order ranking
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
Shaohong Zhang, Hau-San Wong
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...