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ICTAI
2008
IEEE
14 years 3 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti
ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
13 years 6 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
ESANN
2006
13 years 10 months ago
Robust Local Cluster Neural Networks
Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
14 years 2 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
MOBIQUITOUS
2007
IEEE
14 years 3 months ago
Towards Scalable and Robust Service Discovery in Ubiquitous Computing Environments via Multi-hop Clustering
Abstract— Large-scale ubiquitous computing environments require scalable and robust service discovery to enable “anytime, anywhere” computing, which is hard to be satisfied ...
Wei Gao