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Volumn 11, Issue 1, 2012, Pages

CPSCLASS: A constructive particle swarm classifier

Author keywords

artificial immune systems; data classification; data mining; Particle swarm; vector quantization

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; CLASSIC ALGORITHM; CLASSIFICATION ALGORITHM; CLASSIFICATION MODELS; DATA CLASSIFICATION; DATA SETS; MAIN TASKS; PARTICLE SWARM; PERFORMANCE EVALUATION;

EID: 84859740852     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S146902681250006X     Document Type: Article
Times cited : (1)

References (38)
  • 5
    • 34547678003 scopus 로고    scopus 로고
    • Learning vector quantization for multiclass classification: Application to characterization of plastics
    • DOI 10.1021/ci700019q
    • G. R. Lloyd, R. G. Brereton, R. Faria and J. C. Duncan, Learning vector quantization for multiclass classification: Application to characterization of plastics, J. Chem. Inf. Model. 47 (2007) 1553-1563. (Pubitemid 47210058)
    • (2007) Journal of Chemical Information and Modeling , vol.47 , Issue.4 , pp. 1553-1563
    • Lloyd, G.R.1    Brereton, R.G.2    Faria, R.3    Duncan, J.C.4
  • 6
    • 33847789459 scopus 로고    scopus 로고
    • Fundamentals of natural computing: Basic concepts
    • CRC Press LLC
    • L. N. de Castro, Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications (CRC Press LLC, 2006).
    • (2006) Algorithms, and Applications
    • De Castro, L.N.1
  • 8
    • 79952745540 scopus 로고    scopus 로고
    • PSClass: Uma Versão para Classificação do Algoritmo de Enxame de Partículas
    • (Bonito, MS (in Portuguese
    • A. Szabo and L. N. de Castro, PSClass: Uma Versão para Classificação do Algoritmo de Enxame de Partículas, in Proc. of the XVIII Congresso Brasileiro de Automa-tica (Bonito, MS, 2010), pp. 837-844 (in Portuguese).
    • (2010) Proc. of the XVIII Congresso Brasileiro de Automa-tica , pp. 837-844
    • Szabo, A.1    De Castro, L.N.2
  • 9
    • 79952751027 scopus 로고    scopus 로고
    • CPSC: Um algoritmo de enxame construtivo para agrupamento de dados
    • (Bonito, MS (in Portuguese
    • A. K. F. Prior and L. N. de Castro, cPSC: Um Algoritmo de Enxame Construtivo Para Agrupamento de Dados, in Proc. of the XVIII Congresso Brasileiro de Automa-tica (Bonito, MS, 2010), pp. 3300-3307 (in Portuguese).
    • (2010) Proc. of the XVIII Congresso Brasileiro de Automa-tica , pp. 3300-3307
    • Prior, A.K.F.1    De Castro, L.N.2
  • 11
    • 0036613006 scopus 로고    scopus 로고
    • Learning and optimization using the clonal selection principle
    • DOI 10.1109/TEVC.2002.1011539, PII S1089778X02060654
    • L. N. de Castro and F. J. Von Zuben, Learning and optimization using the clonal selection principle, IEEE Trans. Evol. Comput. 6(3) (2002) 239-251. (Pubitemid 34867248)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.3 , pp. 239-251
    • De Castro, L.N.1    Von Zuben, F.J.2
  • 15
    • 67449091641 scopus 로고    scopus 로고
    • AMPSO: A new particle swarm method for nearest neighborhood classification
    • A. Cervantes, I. M. Galv-an and P. Isasi, AMPSO: A new particle swarm method for nearest neighborhood classification, IEEE Trans. Syst. Man Cybernet. 39(5) (2009) 1082-1091.
    • (2009) IEEE Trans. Syst. Man Cybernet. , vol.39 , Issue.5 , pp. 1082-1091
    • Cervantes, A.1    Galv-An, I.M.2    Isasi, P.3
  • 16
    • 46849083916 scopus 로고    scopus 로고
    • A multiple objective particle swarm optimization approach for inventory classification
    • C.-Y. Tsai and Y. Szu-Wei, A multiple objective particle swarm optimization approach for inventory classification, Int. J. Prod. Econ. 114(2) (2008) 656-666.
    • (2008) Int. J. Prod. Econ. , vol.114 , Issue.2 , pp. 656-666
    • Tsai, C.-Y.1    Szu-Wei, Y.2
  • 17
    • 0032001992 scopus 로고    scopus 로고
    • Multicriteria inventory classification using a genetic algorithm
    • PII S0377221797000398
    • H. A. Guvenir and E. Erel, Multicriteria inventory classification using a genetic algor-ithm, Eur. J. Oper. Res. (1998), 29-37. (Pubitemid 128387757)
    • (1998) European Journal of Operational Research , vol.105 , Issue.1 , pp. 29-37
    • Guvenir, H.A.1    Erel, E.2
  • 18
    • 2642563714 scopus 로고    scopus 로고
    • Particle swarm based data mining algorithms for classification tasks
    • T. Sousa, A. Silva and A. Neves, Particle swarm based data mining algorithms for classification tasks, Parallel Comput. 30 (2004) 767-783.
    • (2004) Parallel Comput. , vol.30 , pp. 767-783
    • Sousa, T.1    Silva, A.2    Neves, A.3
  • 19
    • 33745780918 scopus 로고    scopus 로고
    • A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data
    • (SIS '05) (Pasadena, California, USA
    • N. Holden and A. A. Freitas, A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data, in Proc. of the IEEE Swarm Intelligence Symp. (SIS '05) (Pasadena, California, USA, 2005), pp. 100-107.
    • (2005) Proc. of the IEEE Swarm Intelligence Symp , pp. 100-107
    • Holden, N.1    Freitas, A.A.2
  • 20
    • 79551686585 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization approach for clustering and classification of datasets
    • in press
    • K. Y. Huang, A hybrid particle swarm optimization approach for clustering and classification of datasets, Knowl.-Based Syst. (2010), 420-426, in press.
    • (2010) Knowl.-Based Syst. , pp. 420-426
    • Huang, K.Y.1
  • 21
    • 37549069306 scopus 로고    scopus 로고
    • Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data
    • Q. Shen, W. M. Shi and W. Kong, Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data, Comput. Biol. Chem. 32(1) (2008) 53-60.
    • (2008) Comput. Biol. Chem. , vol.32 , Issue.1 , pp. 53-60
    • Shen, Q.1    Shi, W.M.2    Kong, W.3
  • 22
    • 2542498108 scopus 로고    scopus 로고
    • Modified particle swarm optimization algorithm for variable selection in MLR and PLS modeling: QSAR studies of antagonism of angiotensin II antagonists
    • DOI 10.1016/j.ejps.2004.03.002, PII S0928098704000624
    • Q. Shen, J. H. Jing, G. L. Shen and R. Q. Yu, Modified particle swarm optimization algorithm for variable selection in MLR and PLS modeling: QSAR studies of antagonism of angiotensin II antagonists, Eur. J. Pharm. Sci. 22 (2004) 145-152. (Pubitemid 38678617)
    • (2004) European Journal of Pharmaceutical Sciences , vol.22 , Issue.2-3 , pp. 145-152
    • Shen, Q.1    Jiang, J.-H.2    Jiao, C.-X.3    Shen, G.-L.4    Yu, R.-Q.5
  • 23
    • 10044248675 scopus 로고    scopus 로고
    • Optimized partition of minimum spanning tree for piecewise modeling by particle swarm algorithm: QSAR studies of antagonism of angiotensin II antagonists
    • Q. Shen, J. H. Jing, G. L. Shen and R. Q. Yu, Optimized partition of minimum spanning tree for piecewise modeling by particle swarm algorithm: QSAR studies of antagonism of angiotensin II antagonists, J. Chem Inf. Comput. Sci. 44 (2004) 2027-2031.
    • (2004) J. Chem Inf. Comput. Sci. , vol.44 , pp. 2027-2031
    • Shen, Q.1    Jing, J.H.2    Shen, G.L.3    Yu, R.Q.4
  • 24
    • 0037245203 scopus 로고    scopus 로고
    • The construction of a Boolean competitive neural network using ideas from immunology
    • DOI 10.1016/S0925-2312(01)00698-1, PII S0925231201006981
    • L. N. de Castro, F. J. von Zuben and G. de Deus Jr., The construction of a boolean competitive neural network using ideas from immunology, Neurocomputing 50 (2003) 51-85. (Pubitemid 36124136)
    • (2003) Neurocomputing , vol.50 , pp. 51-85
    • De Castro, L.N.1    Von Zuben, F.J.2    De Deus Jr., G.A.3
  • 26
    • 0242498488 scopus 로고    scopus 로고
    • An analysis of four missing data treatment methods for supervised learning
    • G. E. Batista and M. C. Monard, An analysis of four missing data treatment methods for supervised learning, Appl. Artif. Intell. (2003) 519-533.
    • (2003) Appl. Artif. Intell. , pp. 519-533
    • Batista, G.E.1    Monard, M.C.2
  • 28
    • 54449100428 scopus 로고    scopus 로고
    • Data classification with multilayer percep-trons using a generalized error function
    • L. M. Silva, M. de S-a and L. A. Alexandre, Data classification with multilayer percep-trons using a generalized error function, Neural Netw. 21 (2008) 1302-1310.
    • (2008) Neural Netw. , vol.21 , pp. 1302-1310
    • Silva, L.M.1    De S-A, M.2    Alexandre, L.A.3
  • 29
    • 0034187078 scopus 로고    scopus 로고
    • General fuzzy min-max neural network for clustering and classification
    • B. Gabrys and A. Bargiela, General fuzzy min-max neural network for clustering and classification, IEEE Trans. Neural Netw. (2000), 769-783.
    • (2000) IEEE Trans. Neural Netw. , pp. 769-783
    • Gabrys, B.1    Bargiela, A.2
  • 31
    • 19944378094 scopus 로고    scopus 로고
    • The Naive Bayes Mystery: A classification detective story
    • DOI 10.1016/j.patrec.2005.02.001, PII S0167865505000486
    • A. Jamain and D. J. Hand, The Naïve Bayes mystery: A classification detective story, Pattern Recogn. Lett. 26(11) (2005) 1752-1760. (Pubitemid 40752303)
    • (2005) Pattern Recognition Letters , vol.26 , Issue.11 , pp. 1752-1760
    • Jamain, A.1    Hand, D.J.2
  • 32
    • 84859738596 scopus 로고    scopus 로고
    • UCI Repository of Machine Learning Databases
    • UCI Repository of Machine Learning Databases, Online Datasets, http://archive.ics. uci.edu/ml/datasets.html.
    • Online Datasets
  • 34
    • 0000898845 scopus 로고
    • An analysis of variance test for normality
    • S. S. Shapiro and M. B. Wilk, An analysis of variance test for normality, Biometrika 52 (1965) 591-611.
    • (1965) Biometrika , vol.52 , pp. 591-611
    • Shapiro, S.S.1    Wilk, M.B.2
  • 35
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit in the analysis of variance
    • M. Friedman, The use of ranks to avoid the assumption of normality implicit in the analysis of variance, J. Am. Stat. Assoc. 32 (1937) 675-701.
    • (1937) J. Am. Stat. Assoc. , vol.32 , pp. 675-701
    • Friedman, M.1
  • 36
    • 79960535211 scopus 로고    scopus 로고
    • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    • J. Derrac, S. Garcia, D. Molina and F. Herrera, A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms, Swarm Evol. Comput. 1 (2011) 3-18.
    • (2011) Swarm Evol. Comput. , vol.1 , pp. 3-18
    • Derrac, J.1    Garcia, S.2    Molina, D.3    Herrera, F.4
  • 38
    • 0004211855 scopus 로고    scopus 로고
    • 3rd edn. W.W. Norton & Company, New York
    • D. Freedman, R. Pisani and R. Purves, Statistics, 3rd edn. (W.W. Norton & Company, New York, 1998), pp. A-107.
    • (1998) Statistics
    • Freedman, D.1    Pisani, R.2    Purves, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.