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Erschienen in: Soft Computing 23/2020

07.10.2020 | Focus

Spherical separation with infinitely far center

verfasst von: Annabella Astorino, Antonio Fuduli

Erschienen in: Soft Computing | Ausgabe 23/2020

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Abstract

We tackle the problem of separating two finite sets of samples by means of a spherical surface, focusing on the case where the center of the sphere is fixed. Such approach reduces to the minimization of a convex and nonsmooth function of just one variable (the radius), revealing very effective in terms of computational time. In particular, we analyze the case where the center of the sphere is selected far from both the two sets, embedding the grossone idea and obtaining a kind of linear separation. Some numerical results are presented on classical binary data sets drawn from the literature.

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Literatur
Zurück zum Zitat Andrews S, Tsochantaridis I, Hofmann T (2003) Support vector machines for multiple-instance learning. In: Becker S, Thrun S, Obermayer K (eds) Advances in neural information processing systems. MIT Press, Cambridge, pp 561–568 Andrews S, Tsochantaridis I, Hofmann T (2003) Support vector machines for multiple-instance learning. In: Becker S, Thrun S, Obermayer K (eds) Advances in neural information processing systems. MIT Press, Cambridge, pp 561–568
Zurück zum Zitat Astorino A, Fuduli A (2007) Nonsmooth optimization techniques for semisupervised classification. IEEE Trans Pattern Anal Mach Intell 29(12):2135–2142 Astorino A, Fuduli A (2007) Nonsmooth optimization techniques for semisupervised classification. IEEE Trans Pattern Anal Mach Intell 29(12):2135–2142
Zurück zum Zitat Astorino A, Fuduli A (2016) The proximal trajectory algorithm in SVM cross validation. IEEE Trans Neural Netw Learn Syst 27(5):966–977MathSciNet Astorino A, Fuduli A (2016) The proximal trajectory algorithm in SVM cross validation. IEEE Trans Neural Netw Learn Syst 27(5):966–977MathSciNet
Zurück zum Zitat Astorino A, Gaudioso M (2009) A fixed-center spherical separation algorithm with kernel transformations for classification problems. Comput Manag Sci 6(3):357–372MathSciNetMATH Astorino A, Gaudioso M (2009) A fixed-center spherical separation algorithm with kernel transformations for classification problems. Comput Manag Sci 6(3):357–372MathSciNetMATH
Zurück zum Zitat Astorino A, Fuduli A, Gorgone E (2008) Non-smoothness in classification problems. Optim Methods Softw 23(5):675–688MathSciNetMATH Astorino A, Fuduli A, Gorgone E (2008) Non-smoothness in classification problems. Optim Methods Softw 23(5):675–688MathSciNetMATH
Zurück zum Zitat Astorino A, Fuduli A, Gaudioso M (2010) DC models for spherical separation. J Glob Optim 48(4):657–669MathSciNetMATH Astorino A, Fuduli A, Gaudioso M (2010) DC models for spherical separation. J Glob Optim 48(4):657–669MathSciNetMATH
Zurück zum Zitat Astorino A, Bomze I, Brito P, Gaudioso M (2012a) Two spherical separation procedures via non-smooth convex optimization. In: Simone VD, Serafino DD, Toraldo G (eds) Recent advances in nonlinear optimization and equilibrium problems: a tribute to Marco D’Apuzzo, Quaderni di Matematica, Dipartimento di Matematica della Seconda Universitá di Napoli, vol 27, pp 1–16. Aracne Astorino A, Bomze I, Brito P, Gaudioso M (2012a) Two spherical separation procedures via non-smooth convex optimization. In: Simone VD, Serafino DD, Toraldo G (eds) Recent advances in nonlinear optimization and equilibrium problems: a tribute to Marco D’Apuzzo, Quaderni di Matematica, Dipartimento di Matematica della Seconda Universitá di Napoli, vol 27, pp 1–16. Aracne
Zurück zum Zitat Astorino A, Fuduli A, Gaudioso M (2012b) Margin maximization in spherical separation. Comput Optim Appl 53(2):301–322MathSciNetMATH Astorino A, Fuduli A, Gaudioso M (2012b) Margin maximization in spherical separation. Comput Optim Appl 53(2):301–322MathSciNetMATH
Zurück zum Zitat Astorino A, Gaudioso M, Khalaf W (2014a) Edge detection by spherical separation. Comput Manag Sci 11(4):517–530MATH Astorino A, Gaudioso M, Khalaf W (2014a) Edge detection by spherical separation. Comput Manag Sci 11(4):517–530MATH
Zurück zum Zitat Astorino A, Gaudioso M, Seeger A (2014b) Conic separation of finite sets. I. The homogeneous case. J Convex Anal 21(1):1–28MathSciNetMATH Astorino A, Gaudioso M, Seeger A (2014b) Conic separation of finite sets. I. The homogeneous case. J Convex Anal 21(1):1–28MathSciNetMATH
Zurück zum Zitat Astorino A, Gaudioso M, Seeger A (2014c) Conic separation of finite sets. II. The nonhomogeneous case. J Convex Anal 21(3):819–831MathSciNetMATH Astorino A, Gaudioso M, Seeger A (2014c) Conic separation of finite sets. II. The nonhomogeneous case. J Convex Anal 21(3):819–831MathSciNetMATH
Zurück zum Zitat Astorino A, Fuduli A, Gaudioso M (2016) Nonlinear programming for classification problems in machine learning. In: AIP conference proceedings, vol 1776, 040004 Astorino A, Fuduli A, Gaudioso M (2016) Nonlinear programming for classification problems in machine learning. In: AIP conference proceedings, vol 1776, 040004
Zurück zum Zitat Astorino A, Bomze I, Fuduli A, Gaudioso M (2017) Robust spherical separation. Optimization 66(6):925–938MathSciNetMATH Astorino A, Bomze I, Fuduli A, Gaudioso M (2017) Robust spherical separation. Optimization 66(6):925–938MathSciNetMATH
Zurück zum Zitat Astorino A, Fuduli A, Gaudioso M (2019a) A Lagrangian relaxation approach for binary multiple instance classification. IEEE Trans Neural Netw Learn Syst 30(9):2662–2671MathSciNet Astorino A, Fuduli A, Gaudioso M (2019a) A Lagrangian relaxation approach for binary multiple instance classification. IEEE Trans Neural Netw Learn Syst 30(9):2662–2671MathSciNet
Zurück zum Zitat Astorino A, Fuduli A, Giallombardo G, Miglionico G (2019b) SVM-based multiple instance classification via DC optimization. Algorithms 12(12):249MathSciNet Astorino A, Fuduli A, Giallombardo G, Miglionico G (2019b) SVM-based multiple instance classification via DC optimization. Algorithms 12(12):249MathSciNet
Zurück zum Zitat Astorino A, Fuduli A, Veltri P, Vocaturo E (2020) Melanoma detection by means of multiple instance learning. Interdiscip Sci Comput Life Sci 12(1):24–31 Astorino A, Fuduli A, Veltri P, Vocaturo E (2020) Melanoma detection by means of multiple instance learning. Interdiscip Sci Comput Life Sci 12(1):24–31
Zurück zum Zitat Caldarola F (2018) The Sierpinski curve viewed by numerical computations with infinities and infinitesimals. Appl Math Comput 318:321–328MATH Caldarola F (2018) The Sierpinski curve viewed by numerical computations with infinities and infinitesimals. Appl Math Comput 318:321–328MATH
Zurück zum Zitat Celebi ME (ed) (2015) Partitional clustering algorithms. Springer, BerlinMATH Celebi ME (ed) (2015) Partitional clustering algorithms. Springer, BerlinMATH
Zurück zum Zitat Chapelle O, Schölkopf B, Zien A (eds) (2006) Semi-supervised learning. MIT Press, Cambridge Chapelle O, Schölkopf B, Zien A (eds) (2006) Semi-supervised learning. MIT Press, Cambridge
Zurück zum Zitat Chapelle O, Zien A (2005) Semi-supervised classification by low density separation. In: Proceedings of the tenth international workshop on artificial intelligence and statistics, pp 57–64 Chapelle O, Zien A (2005) Semi-supervised classification by low density separation. In: Proceedings of the tenth international workshop on artificial intelligence and statistics, pp 57–64
Zurück zum Zitat Cococcioni M, Cudazzo A, Pappalardo M, Sergeyev Y.D (2020) Solving the lexicographic multi-objective mixed-integer linear programming problem using branch-and-bound and grossone methodology. Communications in Nonlinear Science and Numerical Simulation p. in Press . https://doi.org/10.1016/j.cnsns.2020.105177 Cococcioni M, Cudazzo A, Pappalardo M, Sergeyev Y.D (2020) Solving the lexicographic multi-objective mixed-integer linear programming problem using branch-and-bound and grossone methodology. Communications in Nonlinear Science and Numerical Simulation p. in Press . https://​doi.​org/​10.​1016/​j.​cnsns.​2020.​105177
Zurück zum Zitat Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, CambridgeMATH Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, CambridgeMATH
Zurück zum Zitat De Cosmis S, De Leone R (2012) The use of grossone in mathematical programming and operations research. Appl Math Comput 218(16):8029–8038MathSciNetMATH De Cosmis S, De Leone R (2012) The use of grossone in mathematical programming and operations research. Appl Math Comput 218(16):8029–8038MathSciNetMATH
Zurück zum Zitat De Leone R (2018) Nonlinear programming and grossone: quadratic programming and the role of constraint qualifications. Appl Math Comput 318:290–297MATH De Leone R (2018) Nonlinear programming and grossone: quadratic programming and the role of constraint qualifications. Appl Math Comput 318:290–297MATH
Zurück zum Zitat De Leone R, Fasano G, Sergeyev YD (2018) Planar methods and grossone for the conjugate gradient breakdown in nonlinear programming. Comput Optim Appl 71:73–93MathSciNetMATH De Leone R, Fasano G, Sergeyev YD (2018) Planar methods and grossone for the conjugate gradient breakdown in nonlinear programming. Comput Optim Appl 71:73–93MathSciNetMATH
Zurück zum Zitat De Leone R, Fasano G, Roma M, Sergeyev Y (2020) Iterative grossone-based computation of negative curvature directions in large-scale optimization. J Optim Theory Appl 186(2):554–589MathSciNetMATH De Leone R, Fasano G, Roma M, Sergeyev Y (2020) Iterative grossone-based computation of negative curvature directions in large-scale optimization. J Optim Theory Appl 186(2):554–589MathSciNetMATH
Zurück zum Zitat Falcone A, Garro A, Mukhametzhanov MS, Sergeyev YD (2020) A simulink-based infinity computer simulator and some applications. In: Sergeyev YD, Kvasov DE (eds) Numerical computations: theory and algorithms. Springer, Cham, pp 362–369MATH Falcone A, Garro A, Mukhametzhanov MS, Sergeyev YD (2020) A simulink-based infinity computer simulator and some applications. In: Sergeyev YD, Kvasov DE (eds) Numerical computations: theory and algorithms. Springer, Cham, pp 362–369MATH
Zurück zum Zitat Gaudioso M, Giallombardo G, Mukhametzhanov MS (2018) Numerical infinitesimals in a variable metric method for convex nonsmooth optimization. Appl Math Comput 318:312–320MATH Gaudioso M, Giallombardo G, Mukhametzhanov MS (2018) Numerical infinitesimals in a variable metric method for convex nonsmooth optimization. Appl Math Comput 318:312–320MATH
Zurück zum Zitat Gaudioso M, Giallombardo G, Miglionico G, Vocaturo E (2020) Classification in the multiple instance learning framework via spherical separation. Soft Comput 24(7):5071–5077 Gaudioso M, Giallombardo G, Miglionico G, Vocaturo E (2020) Classification in the multiple instance learning framework via spherical separation. Soft Comput 24(7):5071–5077
Zurück zum Zitat Herrera F, Ventura S, Bello R, Cornelis C, Zafra A, Sánchez-Tarragó D, Vluymans S (2016) Multiple instance learning: foundations and algorithms. Springer, BerlinMATH Herrera F, Ventura S, Bello R, Cornelis C, Zafra A, Sánchez-Tarragó D, Vluymans S (2016) Multiple instance learning: foundations and algorithms. Springer, BerlinMATH
Zurück zum Zitat Le Thi HA, Minh LH, Pham Dinh T, Ngai VH (2013) Binary classification via spherical separator by DC programming and DCA. J Glob Optim 56:1393–1407MathSciNetMATH Le Thi HA, Minh LH, Pham Dinh T, Ngai VH (2013) Binary classification via spherical separator by DC programming and DCA. J Glob Optim 56:1393–1407MathSciNetMATH
Zurück zum Zitat Lolli G (2015) Metamathematical investigations on the theory of grossone. Appl Math Comput 255:3–14MathSciNetMATH Lolli G (2015) Metamathematical investigations on the theory of grossone. Appl Math Comput 255:3–14MathSciNetMATH
Zurück zum Zitat Mangasarian OL (1965) Linear and nonlinear separation of patterns by linear programming. Oper Res 13(3):444–452MathSciNetMATH Mangasarian OL (1965) Linear and nonlinear separation of patterns by linear programming. Oper Res 13(3):444–452MathSciNetMATH
Zurück zum Zitat Margenstern M (2011) Using grossone to count the number of elements of infinite sets and the connection with bijections. p-Adic numbers. Ultrametric Anal Appl 3(3):196–204MathSciNetMATH Margenstern M (2011) Using grossone to count the number of elements of infinite sets and the connection with bijections. p-Adic numbers. Ultrametric Anal Appl 3(3):196–204MathSciNetMATH
Zurück zum Zitat Montagna F, Simi G, Sorbi A (2015) Taking the Pirahã seriously. Commun Nonlinear Sci Numer Simul 21(1–3):52–69MathSciNetMATH Montagna F, Simi G, Sorbi A (2015) Taking the Pirahã seriously. Commun Nonlinear Sci Numer Simul 21(1–3):52–69MathSciNetMATH
Zurück zum Zitat Odewahn S, Stockwell E, Pennington R, Humphreys R, Zumach W (1992) Automated star/galaxy discrimination with neural networks. Astronom J 103(1):318–331 Odewahn S, Stockwell E, Pennington R, Humphreys R, Zumach W (1992) Automated star/galaxy discrimination with neural networks. Astronom J 103(1):318–331
Zurück zum Zitat Plastria F, Carrizosa E, Gordillo J (2014) Multi-instance classification through spherical separation and VNS. Comput Oper Res 52:326–333MathSciNetMATH Plastria F, Carrizosa E, Gordillo J (2014) Multi-instance classification through spherical separation and VNS. Comput Oper Res 52:326–333MathSciNetMATH
Zurück zum Zitat Sergeyev YD (2003) Arithmetic of Infinity. Edizioni Orizzonti Meridionali, CS (2003, 2nd ed. 2013) Sergeyev YD (2003) Arithmetic of Infinity. Edizioni Orizzonti Meridionali, CS (2003, 2nd ed. 2013)
Zurück zum Zitat Sergeyev YD (2009) Numerical point of view on calculus for functions assuming finite, infinite, and infinitesimal values over finite, infinite, and infinitesimal domains. Nonlinear Anal Ser A Theory Methods Appl 71(12):e1688–e1707MathSciNetMATH Sergeyev YD (2009) Numerical point of view on calculus for functions assuming finite, infinite, and infinitesimal values over finite, infinite, and infinitesimal domains. Nonlinear Anal Ser A Theory Methods Appl 71(12):e1688–e1707MathSciNetMATH
Zurück zum Zitat Sergeyev YD (2010a) Computer system for storing infinite, infinitesimal, and finite quantities and executing arithmetical operations with them. USA patent 7,860,914 Sergeyev YD (2010a) Computer system for storing infinite, infinitesimal, and finite quantities and executing arithmetical operations with them. USA patent 7,860,914
Zurück zum Zitat Sergeyev YD (2010) Lagrange lecture: methodology of numerical computations with infinities and infinitesimals. Rendiconti del Seminario Matematico dell’Università e del Politecnico di Torino 68(2):95–113MATH Sergeyev YD (2010) Lagrange lecture: methodology of numerical computations with infinities and infinitesimals. Rendiconti del Seminario Matematico dell’Università e del Politecnico di Torino 68(2):95–113MATH
Zurück zum Zitat Sergeyev YD (2011) Higher order numerical differentiation on the infinity computer. Optim Lett 5(4):575–585MathSciNetMATH Sergeyev YD (2011) Higher order numerical differentiation on the infinity computer. Optim Lett 5(4):575–585MathSciNetMATH
Zurück zum Zitat Sergeyev YD (2015) Un semplice modo per trattare le grandezze infinite ed infinitesime. Matematica nella Società e nella Cultura: Rivista della Unione Matematica Italiana 8(1): 111–147 Sergeyev YD (2015) Un semplice modo per trattare le grandezze infinite ed infinitesime. Matematica nella Società e nella Cultura: Rivista della Unione Matematica Italiana 8(1): 111–147
Zurück zum Zitat Sergeyev YD (2017) Numerical infinities and infinitesimals: methodology, applications, and repercussions on two Hilbert problems. EMS Surv Math Sci 4:219–320MathSciNetMATH Sergeyev YD (2017) Numerical infinities and infinitesimals: methodology, applications, and repercussions on two Hilbert problems. EMS Surv Math Sci 4:219–320MathSciNetMATH
Zurück zum Zitat Sergeyev YD (2019) Independence of the grossone-based infinity methodology from non-standard analysis and comments upon logical fallacies in some texts asserting the opposite. Found Sci 24(1):153–170MATH Sergeyev YD (2019) Independence of the grossone-based infinity methodology from non-standard analysis and comments upon logical fallacies in some texts asserting the opposite. Found Sci 24(1):153–170MATH
Zurück zum Zitat Sergeyev YD, Kvasov DE, Mukhametzhanov MS (2018) On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. Commun Nonlinear Sci Numer Simul 59:319–330MathSciNetMATH Sergeyev YD, Kvasov DE, Mukhametzhanov MS (2018) On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. Commun Nonlinear Sci Numer Simul 59:319–330MathSciNetMATH
Zurück zum Zitat Tax DMJ, Duin RPW (1999) Data domain description using support vectors. In: ESANN’1999 proceedings Bruges, pp 251–256. Belgium Tax DMJ, Duin RPW (1999) Data domain description using support vectors. In: ESANN’1999 proceedings Bruges, pp 251–256. Belgium
Zurück zum Zitat Vapnik V (1995) The nature of the statistical learning theory. Springer, New YorkMATH Vapnik V (1995) The nature of the statistical learning theory. Springer, New YorkMATH
Zurück zum Zitat Zhigljavsky A (2012) Computing sums of conditionally convergent and divergent series using the concept of grossone. Appl Math Comput 218(16):8064–8076MathSciNetMATH Zhigljavsky A (2012) Computing sums of conditionally convergent and divergent series using the concept of grossone. Appl Math Comput 218(16):8064–8076MathSciNetMATH
Metadaten
Titel
Spherical separation with infinitely far center
verfasst von
Annabella Astorino
Antonio Fuduli
Publikationsdatum
07.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 23/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05352-2

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