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Volumn 260, Issue , 2014, Pages 98-119

Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects

Author keywords

Classification; Experimental framework; Fuzzy nearest neighbor; Nearest neighbor; Taxonomy

Indexed keywords

EXPERIMENTAL FRAMEWORK; FUZZY NEAREST NEIGHBOR ALGORITHM; K-NEAREST NEIGHBOR CLASSIFIER; MACHINE LEARNING TECHNIQUES; NEAREST NEIGHBOR ALGORITHM; NEAREST NEIGHBOR CLASSIFICATION; NEAREST NEIGHBOR CLASSIFIER; NEAREST NEIGHBORS;

EID: 84891736888     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.10.038     Document Type: Article
Times cited : (110)

References (110)
  • 5
    • 37549058056 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • A. Andoni, and P. Indyk Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions Communications of the ACM 51 2008
    • (2008) Communications of the ACM , vol.51
    • Andoni, A.1    Indyk, P.2
  • 9
    • 0022700105 scopus 로고
    • Generalized k-nearest neighbor rules
    • J. Bedzek, and S.K. Chuah Generalized k-nearest neighbor rules Fuzzy Sets and Systems 18 1986 237 256
    • (1986) Fuzzy Sets and Systems , vol.18 , pp. 237-256
    • Bedzek, J.1    Chuah, S.K.2
  • 11
    • 0002794598 scopus 로고
    • A fuzzy extended k-nearest neighbors rule
    • M. Béreau, and B. Dubuisson A fuzzy extended k-nearest neighbors rule Fuzzy Sets and Systems 44 1991 17 32
    • (1991) Fuzzy Sets and Systems , vol.44 , pp. 17-32
    • Béreau, M.1    Dubuisson, B.2
  • 14
    • 80255137493 scopus 로고    scopus 로고
    • Hybrid intelligent system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and neural networks combined with a fuzzy system
    • O. Castillo, P. Melin, E. Ramírez, and J. Soria Hybrid intelligent system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and neural networks combined with a fuzzy system Expert Systems with Applications 39 2012 2947 2955
    • (2012) Expert Systems with Applications , vol.39 , pp. 2947-2955
    • Castillo, O.1    Melin, P.2    Ramírez, E.3    Soria, J.4
  • 15
    • 80051475044 scopus 로고    scopus 로고
    • A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method
    • H.L. Chen, B. Yang, G. Wang, J. Liu, X. Xu, S. Wang, and D. Liu A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method Knowledge Based Systems 24 2011 1348 1359
    • (2011) Knowledge Based Systems , vol.24 , pp. 1348-1359
    • Chen, H.L.1    Yang, B.2    Wang, G.3    Liu, J.4    Xu, X.5    Wang, S.6    Liu, D.7
  • 17
    • 84867298235 scopus 로고    scopus 로고
    • Diagnosis of diabetes diseases using an artificial immune recognition system2 (AIRS2) with fuzzy k-nearest neighbor
    • M.A. Chikh, M. Saidi, and N. Settouti Diagnosis of diabetes diseases using an artificial immune recognition system2 (AIRS2) with fuzzy k-nearest neighbor Journal of medical systems 36 2012 2721 2729
    • (2012) Journal of Medical Systems , vol.36 , pp. 2721-2729
    • Chikh, M.A.1    Saidi, M.2    Settouti, N.3
  • 18
  • 25
    • 0029307876 scopus 로고
    • A k-nearest neighbor classification rule based on Dempster-Shafer theory
    • T. Denoeux A k-nearest neighbor classification rule based on Dempster-Shafer theory IEEE Transactions on Systems, Man, and Cybernetics 25 1995 804 813
    • (1995) IEEE Transactions on Systems, Man, and Cybernetics , vol.25 , pp. 804-813
    • Denoeux, T.1
  • 26
    • 81355127279 scopus 로고    scopus 로고
    • Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
    • J. Derrac, C. Cornelis, S. García, and F. Herrera Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection Information Sciences 186 2012 73 92
    • (2012) Information Sciences , vol.186 , pp. 73-92
    • Derrac, J.1    Cornelis, C.2    García, S.3    Herrera, F.4
  • 27
    • 84859482916 scopus 로고    scopus 로고
    • A k-nearest neighbours method based on imprecise probabilities
    • S. Destercke A k-nearest neighbours method based on imprecise probabilities Soft Computing 16 2012 833 844
    • (2012) Soft Computing , vol.16 , pp. 833-844
    • Destercke, S.1
  • 30
    • 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 Journal of the American Statistical Association 32 1937 674 701
    • (1937) Journal of the American Statistical Association , vol.32 , pp. 674-701
    • Friedman, M.1
  • 32
    • 64549120231 scopus 로고    scopus 로고
    • A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
    • S. García, A. Fernández, J. Luengo, and F. Herrera A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability Soft Computing 13 2009 959 977
    • (2009) Soft Computing , vol.13 , pp. 959-977
    • García, S.1    Fernández, A.2    Luengo, J.3    Herrera, F.4
  • 33
    • 77549084648 scopus 로고    scopus 로고
    • Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
    • S. García, A. Fernández, J. Luengo, and F. Herrera Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power Information Sciences 180 2010 2044 2064
    • (2010) Information Sciences , vol.180 , pp. 2044-2064
    • García, S.1    Fernández, A.2    Luengo, J.3    Herrera, F.4
  • 34
    • 58149287952 scopus 로고    scopus 로고
    • An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons
    • S. García, and F. Herrera An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons Journal of Machine Learning Research 9 2008 2677 2694
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2677-2694
    • García, S.1    Herrera, F.2
  • 37
    • 0031084264 scopus 로고    scopus 로고
    • Fast implementations of nearest-neighbor classifiers
    • P. Grother, G.T. Candela, and J.L. Blue Fast implementations of nearest-neighbor classifiers Pattern Recognition 30 1997 459 465
    • (1997) Pattern Recognition , vol.30 , pp. 459-465
    • Grother, P.1    Candela, G.T.2    Blue, J.L.3
  • 38
    • 0004560232 scopus 로고
    • An intuitionistic fuzzy sets application to the k-NN method
    • S. Hadjitodorov An intuitionistic fuzzy sets application to the k-NN method Notes on Intuitionistic Fuzzy Sets 1 1995 66 69
    • (1995) Notes on Intuitionistic Fuzzy Sets , vol.1 , pp. 66-69
    • Hadjitodorov, S.1
  • 39
    • 0034931228 scopus 로고    scopus 로고
    • An intuitionistic fuzzy version of the nearest prototype classification method, based on a moving-of-pattern procedure
    • S. Hadjitodorov An intuitionistic fuzzy version of the nearest prototype classification method, based on a moving-of-pattern procedure International Journal of General Systems 30 2000 155 165
    • (2000) International Journal of General Systems , vol.30 , pp. 155-165
    • Hadjitodorov, S.1
  • 42
    • 79952317715 scopus 로고    scopus 로고
    • A semi-supervised dynamic version of fuzzy k-nearest neighbours to monitor evolving systems
    • L. Hartert, M.S. Mouchaweh, and P. Billaudel A semi-supervised dynamic version of fuzzy k-nearest neighbours to monitor evolving systems Evolving Systems 1 2010 3 15
    • (2010) Evolving Systems , vol.1 , pp. 3-15
    • Hartert, L.1    Mouchaweh, M.S.2    Billaudel, P.3
  • 45
    • 84858833657 scopus 로고    scopus 로고
    • Discriminating outer membrane proteins with fuzzy k-nearest neighbor algorithms based on the general form of chou's PseAAC
    • M. Hayat, and A. Khan Discriminating outer membrane proteins with fuzzy k-nearest neighbor algorithms based on the general form of chou's PseAAC Protein and Peptide Letters 19 2012 411 421
    • (2012) Protein and Peptide Letters , vol.19 , pp. 411-421
    • Hayat, M.1    Khan, A.2
  • 48
    • 0347093598 scopus 로고    scopus 로고
    • Prediction of protein subcellular locations using fuzzy k-NN method
    • Y. Huang, and Y. Li Prediction of protein subcellular locations using fuzzy k-NN method Bioinformatics 20 2004 21 28
    • (2004) Bioinformatics , vol.20 , pp. 21-28
    • Huang, Y.1    Li, Y.2
  • 49
    • 0042129877 scopus 로고    scopus 로고
    • Possibilistic instance-based learning
    • E. Hüllermeier Possibilistic instance-based learning Artificial Intelligence 148 2003 335 383
    • (2003) Artificial Intelligence , vol.148 , pp. 335-383
    • Hüllermeier, E.1
  • 51
    • 67549091208 scopus 로고    scopus 로고
    • A method of learning weighted similarity function to improve the performance of nearest neighbor
    • M.Z. Jahromi, E. Parvinnia, and R. John A method of learning weighted similarity function to improve the performance of nearest neighbor Information Sciences 179 2009 2964 2973
    • (2009) Information Sciences , vol.179 , pp. 2964-2973
    • Jahromi, M.Z.1    Parvinnia, E.2    John, R.3
  • 53
    • 80053064109 scopus 로고    scopus 로고
    • Fuzzy-rough nearest neighbour classification
    • R. Jensen, and C. Cornelis Fuzzy-rough nearest neighbour classification Transactions on Rough Sets 13 2011 56 72
    • (2011) Transactions on Rough Sets , vol.13 , pp. 56-72
    • Jensen, R.1    Cornelis, C.2
  • 54
    • 80255123384 scopus 로고    scopus 로고
    • FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors
    • J.Y. Jiang, S.C. Tsai, and S.J. Lee FSKNN: multi-label text categorization based on fuzzy similarity and k nearest neighbors Expert Systems with Applications 39 2012 2813 2821
    • (2012) Expert Systems with Applications , vol.39 , pp. 2813-2821
    • Jiang, J.Y.1    Tsai, S.C.2    Lee, S.J.3
  • 55
    • 0034668365 scopus 로고    scopus 로고
    • Integrated use of Fuzzy C-Means and fuzzy kNN for gt part family and machine cell formation
    • K. Josien, and T.W. Liao Integrated use of Fuzzy C-Means and fuzzy kNN for gt part family and machine cell formation International Journal of Production Research 38 2000 3513 3536
    • (2000) International Journal of Production Research , vol.38 , pp. 3513-3536
    • Josien, K.1    Liao, T.W.2
  • 56
    • 0000941048 scopus 로고
    • A learning scheme for a fuzzy k-NN rule
    • A. Jóẃik A learning scheme for a fuzzy k-NN rule Pattern Recognition Letters 1 1983 287 289
    • (1983) Pattern Recognition Letters , vol.1 , pp. 287-289
    • Jóẃik, A.1
  • 60
    • 33646575961 scopus 로고    scopus 로고
    • On optimum choice of k in nearest neighbor classification
    • A.K. Ghosh On optimum choice of k in nearest neighbor classification Computational Statistics & Data Analysis 50 2006 3113 3123
    • (2006) Computational Statistics & Data Analysis , vol.50 , pp. 3113-3123
    • Ghosh, A.K.1
  • 61
    • 33749575594 scopus 로고    scopus 로고
    • Fuzzy k-nearest neighbor method for protein secondary structure prediction and its parallel implementation
    • Kunming, China, August 16-19
    • S. Kim, J. Sim, J. Lee, Fuzzy k-nearest neighbor method for protein secondary structure prediction and its parallel implementation, in: Proceedings of the International Conference on Intelligent Computing (ICIC 2006), Kunming, China, August 16-19, pp. 444-463.
    • Proceedings of the International Conference on Intelligent Computing (ICIC 2006) , pp. 444-463
    • Kim, S.1    Sim, J.2    Lee, J.3
  • 63
    • 3042986813 scopus 로고
    • An intuitionistic fuzzy k-nearest neighbors rule
    • L.I. Kuncheva An intuitionistic fuzzy k-nearest neighbors rule Notes on Intuitionistic Fuzzy Sets 1 1995 56 60
    • (1995) Notes on Intuitionistic Fuzzy Sets , vol.1 , pp. 56-60
    • Kuncheva, L.I.1
  • 67
    • 0000574266 scopus 로고    scopus 로고
    • Two manufacturing applications of the fuzzy k-NN algorithm
    • T. Liao, and D. Li Two manufacturing applications of the fuzzy k-NN algorithm Fuzzy Sets and Systems 92 1997 289 303
    • (1997) Fuzzy Sets and Systems , vol.92 , pp. 289-303
    • Liao, T.1    Li, D.2
  • 68
    • 0033360253 scopus 로고    scopus 로고
    • Detection of welding flaws from radiographic images with fuzzy clustering methods
    • T. Liao, D. Li, and Y. Li Detection of welding flaws from radiographic images with fuzzy clustering methods Fuzzy Sets and Systems 108 1999 145 158
    • (1999) Fuzzy Sets and Systems , vol.108 , pp. 145-158
    • Liao, T.1    Li, D.2    Li, Y.3
  • 69
    • 0034226588 scopus 로고    scopus 로고
    • Extraction of welds from radiographic images using fuzzy classifiers
    • T. Liao, D. Li, and Y. Li Extraction of welds from radiographic images using fuzzy classifiers Information Sciences 126 2000 21 40
    • (2000) Information Sciences , vol.126 , pp. 21-40
    • Liao, T.1    Li, D.2    Li, Y.3
  • 70
    • 76749117520 scopus 로고    scopus 로고
    • Fast exact k nearest neighbors search using an orthogonal search tree
    • Y.C. Liaw, M.L. Leou, and C.M. Wu Fast exact k nearest neighbors search using an orthogonal search tree Pattern Recognition 43 2010 2351 2358
    • (2010) Pattern Recognition , vol.43 , pp. 2351-2358
    • Liaw, Y.C.1    Leou, M.L.2    Wu, C.M.3
  • 73
    • 84867300320 scopus 로고    scopus 로고
    • Design of an enhanced fuzzy k-nearest neighbor classifier based computer aided diagnostic system for thyroid disease
    • D.Y. Liu, H.L. Chen, B. Yang, X.E. Lv, L.N. Li, and J. Liu Design of an enhanced fuzzy k-nearest neighbor classifier based computer aided diagnostic system for thyroid disease Journal of medical systems 36 2012 3243 3254
    • (2012) Journal of Medical Systems , vol.36 , pp. 3243-3254
    • Liu, D.Y.1    Chen, H.L.2    Yang, B.3    Lv, X.E.4    Li, L.N.5    Liu, J.6
  • 78
    • 68849092569 scopus 로고    scopus 로고
    • A fuzzy vector valued kNN-algorithm for automatic outlaier detection
    • R. Ostermark A fuzzy vector valued kNN-algorithm for automatic outlaier detection Applied Soft Computing 9 2009 1263 1272
    • (2009) Applied Soft Computing , vol.9 , pp. 1263-1272
    • Ostermark, R.1
  • 80
    • 2342646943 scopus 로고    scopus 로고
    • Finknn: A fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples
    • V. Petridis, and V.G. Kaburlasos Finknn: a fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples Journal of Machine Learning Research 4 2004 17 37
    • (2004) Journal of Machine Learning Research , vol.4 , pp. 17-37
    • Petridis, V.1    Kaburlasos, V.G.2
  • 82
    • 80053083102 scopus 로고    scopus 로고
    • Kernel-based fuzzy-rough nearest neighbour classification
    • Taipei, Taiwan, June 27-30
    • Y. Qu, C. Shang, Q. Shen, N.M. Parthaláin, W. Wu, Kernel-based fuzzy-rough nearest neighbour classification, in: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, June 27-30, pp. 1523-1529.
    • IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) , pp. 1523-1529
    • Qu, Y.1
  • 83
    • 0343789644 scopus 로고    scopus 로고
    • Classification of aged wine distillates using fuzzy and neural network systems
    • C. Raptis, C. Siettos, C. Kiranoudis, and G. Bafas Classification of aged wine distillates using fuzzy and neural network systems Journal of Food Engineering 46 2000 267 275
    • (2000) Journal of Food Engineering , vol.46 , pp. 267-275
    • Raptis, C.1    Siettos, C.2    Kiranoudis, C.3    Bafas, G.4
  • 86
    • 34547577484 scopus 로고    scopus 로고
    • Fuzzy-rough nearest neighbor algorithms in classification
    • M. Sarkar Fuzzy-rough nearest neighbor algorithms in classification Fuzzy Sets and Systems 158 2012 2134 2152
    • (2012) Fuzzy Sets and Systems , vol.158 , pp. 2134-2152
    • Sarkar, M.1
  • 87
    • 84890829458 scopus 로고
    • Modified sequentially rejective multiple test procedures
    • J. Shaffer Modified sequentially rejective multiple test procedures Journal of American Statistical Association 81 1986 826 831
    • (1986) Journal of American Statistical Association , vol.81 , pp. 826-831
    • Shaffer, J.1
  • 92
    • 78650957199 scopus 로고    scopus 로고
    • Preliminary study on quantification of duck color based on fuzzy k nearest neighbor method
    • D.C. Tu, J.H. Zhao, M.H. Liu, J. Shen, and F. Yu Preliminary study on quantification of duck color based on fuzzy k nearest neighbor method Applied Mechanics and Materials 39 2010 210 215
    • (2010) Applied Mechanics and Materials , vol.39 , pp. 210-215
    • Tu, D.C.1    Zhao, J.H.2    Liu, M.H.3    Shen, J.4    Yu, F.5
  • 93
    • 60849116424 scopus 로고    scopus 로고
    • A method to improve protein subcellular localization prediction by integrating various biological data sources
    • T.Q. Tung, and D. Lee A method to improve protein subcellular localization prediction by integrating various biological data sources BMC Bioinformatics 10 2009 1 10
    • (2009) BMC Bioinformatics , vol.10 , pp. 1-10
    • Tung, T.Q.1    Lee, D.2
  • 94
  • 95
    • 33750796974 scopus 로고    scopus 로고
    • Improving nearest neighbor rule with a simple adaptive distance measure
    • J. Wang, P. Neskovic, and L. Cooper Improving nearest neighbor rule with a simple adaptive distance measure Pattern Recognition Letters 28 2007 207 213
    • (2007) Pattern Recognition Letters , vol.28 , pp. 207-213
    • Wang, J.1    Neskovic, P.2    Cooper, L.3
  • 96
    • 0031073477 scopus 로고    scopus 로고
    • A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
    • D. Wettschereck, D.W. Aha, and T. Mohri A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms Artificial Intelligence Review 11 1997 273 314
    • (1997) Artificial Intelligence Review , vol.11 , pp. 273-314
    • Wettschereck, D.1    Aha, D.W.2    Mohri, T.3
  • 98
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • D.L. Wilson Asymptotic properties of nearest neighbor rules using edited data IEEE Transactions on System, Man and Cybernetics 2 1972 408 421
    • (1972) IEEE Transactions on System, Man and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.L.1
  • 103
    • 38248999250 scopus 로고
    • On strong consistency of the fuzzy generalized nearest neighbor rule
    • M. Yang, and C. Chen On strong consistency of the fuzzy generalized nearest neighbor rule Fuzzy Sets and Systems 60 1993 273 281
    • (1993) Fuzzy Sets and Systems , vol.60 , pp. 273-281
    • Yang, M.1    Chen, C.2
  • 104
    • 43949151722 scopus 로고
    • Convergence rate of the fuzzy generalized nearest neighbor rule
    • M. Yang, and C. Chen Convergence rate of the fuzzy generalized nearest neighbor rule Computers & Mathematics with Applications 27 1994 1 8
    • (1994) Computers & Mathematics with Applications , vol.27 , pp. 1-8
    • Yang, M.1    Chen, C.2
  • 106
    • 0036132565 scopus 로고    scopus 로고
    • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
    • S. Yu, S. Backer, and P. Scheunders Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery Pattern Recognition Letters 23 2002 183 190
    • (2002) Pattern Recognition Letters , vol.23 , pp. 183-190
    • Yu, S.1    Backer, S.2    Scheunders, P.3
  • 108
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • L. Zadeh Fuzzy sets as a basis for a theory of possibility Fuzzy Sets and Systems 1 1978 3 28
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.1
  • 110
    • 62949195589 scopus 로고    scopus 로고
    • A k-NN associated fuzzy evidential reasoning classifier with adaptive neighbor selection
    • Melbourne, Florida, USA, December 19-22
    • H. Zhu, O. Basir, A k-NN associated fuzzy evidential reasoning classifier with adaptive neighbor selection, in: Proceedings of the Third IEEE International Conference on Data Mining (ICDM 2003), Melbourne, Florida, USA, December 19-22, pp. 709-712.
    • Proceedings of the Third IEEE International Conference on Data Mining (ICDM 2003) , pp. 709-712
    • Zhu, H.1    Basir, O.2


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