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ICPR
2008
IEEE
15 years 7 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
111
Voted
NIPS
2008
15 years 2 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
TJS
2002
118views more  TJS 2002»
15 years 7 days ago
On the Design, Development, Deployment, and Network Survivability Analysis of the Dynamic Routing System Protocol
: With the ever-increasing demands on server applications, reliability is of paramount importance. Often these services are implemented using a distributed server cluster architect...
Abdur Chowdhury, Ophir Frieder, Peng-Jun Wan
116
Voted
NN
2008
Springer
146views Neural Networks» more  NN 2008»
15 years 2 days ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
105
Voted
KBSE
2008
IEEE
15 years 7 months ago
Automated Aspect Recommendation through Clustering-Based Fan-in Analysis
Identifying code implementing a crosscutting concern (CCC) automatically can benefit the maintainability and evolvability of the application. Although many approaches have been p...
Danfeng Zhang, Yao Guo, Xiangqun Chen