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ICPR
2008
IEEE
16 years 24 days 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
NIPS
2008
15 years 7 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 6 months 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
NN
2008
Springer
146views Neural Networks» more  NN 2008»
15 years 5 months 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
KBSE
2008
IEEE
16 years 23 days 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