Yazar "Bagirov, Adil M." için listeleme
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An incremental clustering algorithm based on hyperbolic smoothing
Bagirov, Adil M.; Ordin, B.; Öztürk, G.; Xavier, A. E. (Springer, 2015)Clustering is an important problem in data mining. It can be formulated as a nonsmooth, nonconvex optimization problem. For the most global optimization techniques this problem is challenging even in medium size data sets. ... -
An incremental piecewise linear classifier based on polyhedral conic separation
Öztürk, Gürkan; Bagirov, Adil M.; Kasımbeyli, Refail (Springer, 2015)In this paper, a piecewise linear classifier based on polyhedral conic separation is developed. This classifier builds nonlinear boundaries between classes using polyhedral conic functions. Since the number of polyhedral ... -
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
Bagirov, Adil M.; Ugon, Julien; Webb, Dean; Öztürk, Gürkan; Kasımbeyli, Refail (Springer, 2013)In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data ... -
Piecewise linear classifiers based on nonsmooth optimization approaches
Bagirov, Adil M.; Kasımbeyli, Refail; Öztürk, G.; Ugon, J. (Springer New York, 2014)[No abstract available] -
A sharp augmented Lagrangian-based method in constrained non-convex optimization
Bagirov, Adil M.; Öztürk, G.; Kasımbeyli, Refail (Taylor & Francis LTD, 2019)In this paper, a novel sharp Augmented Lagrangian-based global optimization method is developed for solving constrained non-convex optimization problems. The algorithm consists of outer and inner loops. At each inner ...
