Your selections:
A comparative study of unsupervised classification algorithms in multi-sized data sets
A difference of convex optimization algorithm for piecewise linear regression
- Bagirov, Adil, Taheri, Sona, Asadi, Soodabeh
A sharp augmented Lagrangian-based method in constrained non-convex optimization
- Bagirov, Adil, Ozturk, Gurkan, Kasimbeyli, Refail
- Bagirov, Adil, Taheri, Sona, Bai, Fusheng, Wu, Zhiyou
A comparative assessment of models to predict monthly rainfall in Australia
- Bagirov, Adil, Mahmood, Arshad
A server side solution for detecting webInject : A machine learning approach
- Moniruzzaman, Md, Bagirov, Adil, Gondal, Iqbal, Brown, Simon
Clustering in large data sets with the limited memory bundle method
- Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona
Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations
- Gaudioso, Manlio, Giallombardo, Giovanni, Miglionico, Giovanna, Bagirov, Adil
Solving minimax problems : Local smoothing versus global smoothing
- Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona
A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes
- Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Makela, Marko
Batch clustering algorithm for big data sets
- Alguliyev, Rasim, Aliguliyev, Ramiz, Bagirov, Adil, Karimov, Rafael
DC programming algorithm for clusterwise linear L1 regression
New diagonal bundle method for clustering problems in large data sets
- Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona
Optimization based clustering algorithms for authorship analysis of phishing emails
- Seifollahi, Sattar, Bagirov, Adil, Layton, Robert, Gondal, Iqbal
Prediction of monthly rainfall in Victoria, Australia : Clusterwise linear regression approach
- Bagirov, Adil, Mahmood, Arshad, Barton, Andrew
An algorithm for clustering using L1-norm based on hyperbolic smoothing technique
- Bagirov, Adil, Mohebi, Ehsan
Constrained self organizing maps for data clusters visualization
- Mohebi, Ehsan, Bagirov, Adil
Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems
- Bagirov, Adil, Taheri, Sona, Ugon, Julien
A heuristic algorithm for solving the minimum sum-of-squares clustering problems
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