메뉴 건너뛰기




Volumn 18, Issue 3, 2015, Pages 587-599

Improved clustering criterion for image clustering with artificial bee colony algorithm

Author keywords

Artificial bee colony algorithm; Genetic algorithms; Image clustering; K means; Particle swarm optimization; Validity indexes

Indexed keywords


EID: 84937813755     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-014-0365-y     Document Type: Article
Times cited : (45)

References (57)
  • 1
    • 84858956991 scopus 로고    scopus 로고
    • A new approach to the reconstruction of contour lines extracted from topographic maps
    • Samet R, Hancer E (2012) A new approach to the reconstruction of contour lines extracted from topographic maps. J Vis Commun Image Represent 23(4):642–647. doi:10.1016/j.jvcir.2012.02.005
    • (2012) J Vis Commun Image Represent , vol.23 , Issue.4 , pp. 642-647
    • Samet, R.1    Hancer, E.2
  • 3
    • 79961224638 scopus 로고    scopus 로고
    • Ant-based clustering algorithms: a brief survey
    • Jafar OAM, Sivakumar R (2010) Ant-based clustering algorithms: a brief survey. Int J Comput Theory Eng 2:787–796
    • (2010) Int J Comput Theory Eng , vol.2 , pp. 787-796
    • Jafar, O.A.M.1    Sivakumar, R.2
  • 5
    • 0030215881 scopus 로고    scopus 로고
    • A lattice conceptual clustering system and its application to browsing retrieval
    • Carpineto C, Romano G (1996) A lattice conceptual clustering system and its application to browsing retrieval. Mach Learn 24(2):95–122. doi:10.1023/a:1018050230279
    • (1996) Mach Learn , vol.24 , Issue.2 , pp. 95-122
    • Carpineto, C.1    Romano, G.2
  • 7
    • 84937815741 scopus 로고    scopus 로고
    • Manning CD, Schutze H (1999) Foundations of statistical natural language processing
    • Manning CD, Schutze H (1999) Foundations of statistical natural language processing
  • 8
    • 0032650370 scopus 로고    scopus 로고
    • A robust competitive clustering algorithm with applications in computer vision
    • Frigui H, Krishnapuram R (1999) A robust competitive clustering algorithm with applications in computer vision. IEEE Trans Pattern Anal Mach Intell 21(5):450–465
    • (1999) IEEE Trans Pattern Anal Mach Intell , vol.21 , Issue.5 , pp. 450-465
    • Frigui, H.1    Krishnapuram, R.2
  • 9
    • 31944437793 scopus 로고    scopus 로고
    • Dynamic clustering using particle swarm optimization with application in image segmentation
    • Omran MGH, Salman A, Engelbrecht AP (2006) Dynamic clustering using particle swarm optimization with application in image segmentation. Pattern Anal Appl 8(4):332–344. doi:10.1007/s10044-005-0015-5
    • (2006) Pattern Anal Appl , vol.8 , Issue.4 , pp. 332-344
    • Omran, M.G.H.1    Salman, A.2    Engelbrecht, A.P.3
  • 13
    • 0013371834 scopus 로고
    • Some methods for classification and analysis of multivariate observations. In: 5th Berkeley Symp
    • Stat, Probability
    • MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: 5th Berkeley Symp. Math. Stat. Probability
    • (1967) Math
    • MacQueen, J.1
  • 14
    • 77957901422 scopus 로고    scopus 로고
    • A novel clustering approach: artificial bee colony (ABC) algorithm
    • Karaboga D, Ozturk C (2011) A novel clustering approach: artificial bee colony (ABC) algorithm. Appl Soft Comput 11(1):652–657
    • (2011) Appl Soft Comput , vol.11 , Issue.1 , pp. 652-657
    • Karaboga, D.1    Ozturk, C.2
  • 15
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: efficiency versus interpretability of classification
    • Forgy EW (1965) Cluster analysis of multivariate data: efficiency versus interpretability of classification. Biometrics 21(3):768–769
    • (1965) Biometrics , vol.21 , Issue.3 , pp. 768-769
    • Forgy, E.W.1
  • 16
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn JC (1973) A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. J Cybern 3:32–57
    • (1973) J Cybern , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 19
    • 75749157687 scopus 로고    scopus 로고
    • Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation
    • Forouzanfar M, Forghani N, Teshnehlab M (2010) Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation. Eng Appl Artif Intell 23(2):160–168. doi:10.1016/j.engappai.2009.10.002
    • (2010) Eng Appl Artif Intell , vol.23 , Issue.2 , pp. 160-168
    • Forouzanfar, M.1    Forghani, N.2    Teshnehlab, M.3
  • 20
  • 21
    • 0035502877 scopus 로고    scopus 로고
    • Spatial models for fuzzy clustering
    • 2001.0951
    • Pham DL (2001) Spatial models for fuzzy clustering. Comput Vis Image Underst 84(2):285–297. doi:10.1006/cviu 2001.0951
    • (2001) Comput Vis Image Underst , vol.84 , Issue.2 , pp. 285-297
    • Pham, D.L.1
  • 22
    • 35348845206 scopus 로고    scopus 로고
    • A generalized fuzzy clustering regularization model with optimality tests and model complexity analysis
    • Jian Y, Miin-Shen Y (2007) A generalized fuzzy clustering regularization model with optimality tests and model complexity analysis. IEEE Trans Fuzzy Syst 15(5):904–915
    • (2007) IEEE Trans Fuzzy Syst , vol.15 , Issue.5 , pp. 904-915
    • Jian, Y.1    Miin-Shen, Y.2
  • 24
    • 34249892172 scopus 로고    scopus 로고
    • Spatial kernel K-harmonic means clustering for multi-spectral image segmentation
    • Li Q, Mitianoudis N, Stathaki T (2007) Spatial kernel K-harmonic means clustering for multi-spectral image segmentation. IET Image Proc 1(2):156–167
    • (2007) IET Image Proc , vol.1 , Issue.2 , pp. 156-167
    • Li, Q.1    Mitianoudis, N.2    Stathaki, T.3
  • 25
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • IEEE international joint conference on neural networks, Australia
    • Kennedy J, Eberhart R (1995) Particle swarm optimization. In: IEEE international joint conference on neural networks, Australia
    • (1995) In
    • Kennedy, J.1    Eberhart, R.2
  • 28
    • 18644363741 scopus 로고    scopus 로고
    • Image classification using particle swarm optimization
    • Paper presented at the conference on simulated evolution and learning, Singapore
    • Salman A, Omran M, Engelbrecht A (2002) Image classification using particle swarm optimization. In: Paper presented at the conference on simulated evolution and learning, Singapore
    • (2002) In
    • Salman, A.1    Omran, M.2    Engelbrecht, A.3
  • 32
    • 0003401932 scopus 로고
    • Optimization Learning And Natural Algorithms
    • Politecnico Di Milano, Italy
    • Dorigo M (1992) Optimization Learning And Natural Algorithms. PHD Thesis, Politecnico Di Milano, Italy
    • (1992) PHD Thesis
    • Dorigo, M.1
  • 33
    • 84937812993 scopus 로고    scopus 로고
    • An application of ant colony optimization to image clustering
    • Paper presented at the proc, K-Space Jamboree Workshop
    • Piatrik T, Izquierdo E (2008) An application of ant colony optimization to image clustering. In: Paper presented at the proc. K-Space Jamboree Workshop
    • (2008) In
    • Piatrik, T.1    Izquierdo, E.2
  • 34
    • 54949090814 scopus 로고    scopus 로고
    • Automatic clustering using an improved differential evolution algorithm
    • Das S, Abraham A, Konar A (2008) Automatic clustering using an improved differential evolution algorithm. IEEE Trans Syst Man Cybern Part A Syst Hum 38(1):218–237. doi:10.1109/tsmca.2007.909595
    • (2008) IEEE Trans Syst Man Cybern Part A Syst Hum , vol.38 , Issue.1 , pp. 218-237
    • Das, S.1    Abraham, A.2    Konar, A.3
  • 36
    • 53749085581 scopus 로고    scopus 로고
    • Automatic image pixel clustering with an improved differential evolution
    • Das S, Konar A (2009) Automatic image pixel clustering with an improved differential evolution. Appl Soft Comput 9(1):226–236. doi:10.1016/j.asoc.2007.12.008
    • (2009) Appl Soft Comput , vol.9 , Issue.1 , pp. 226-236
    • Das, S.1    Konar, A.2
  • 37
    • 84885148906 scopus 로고    scopus 로고
    • Multi-level image thresholding based on two-dimensional histogram and maximum tsallis entropy—a differential evolution approach
    • Sarkar S, Das S (2013) Multi-level image thresholding based on two-dimensional histogram and maximum tsallis entropy—a differential evolution approach. IEEE Trans Image Process 99:1–1. doi:10.1109/tip.2013.2277832
    • (2013) IEEE Trans Image Process , vol.99 , pp. 1
    • Sarkar, S.1    Das, S.2
  • 38
    • 35148827874 scopus 로고    scopus 로고
    • An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty
    • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department
    • (2005) Computer Engineering Department
    • Karaboga, D.1
  • 39
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
    • Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39(3)
    • (2007) J Global Optim , vol.39 , Issue.3
    • Karaboga, D.1    Basturk, B.2
  • 40
    • 67651121862 scopus 로고    scopus 로고
    • Neural networks training by artificial bee colony algorithm on pattern classification
    • Karaboga D, Ozturk C (2009) Neural networks training by artificial bee colony algorithm on pattern classification. Neural Netw World 19(3):279–292
    • (2009) Neural Netw World , vol.19 , Issue.3 , pp. 279-292
    • Karaboga, D.1    Ozturk, C.2
  • 41
    • 80053571767 scopus 로고    scopus 로고
    • SAR image segmentation based on artificial bee colony algorithm
    • Ma M, Liang J, Guo M, Fan Y, Yin Y (2011) SAR image segmentation based on artificial bee colony algorithm. Appl Soft Comput 11(8):5205–5214. doi:10.1016/j.asoc.2011.05.039
    • (2011) Appl Soft Comput , vol.11 , Issue.8 , pp. 5205-5214
    • Ma, M.1    Liang, J.2    Guo, M.3    Fan, Y.4    Yin, Y.5
  • 42
    • 79959828517 scopus 로고    scopus 로고
    • Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm
    • Ozturk C, Karaboga D, Gorkemli B (2011) Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm. Sensors 11(6):6056–6065
    • (2011) Sensors , vol.11 , Issue.6 , pp. 6056-6065
    • Ozturk, C.1    Karaboga, D.2    Gorkemli, B.3
  • 43
    • 84869864314 scopus 로고    scopus 로고
    • Cluster based wireless sensor network routing using artificial bee colony algorithm
    • Karaboga D, Okdem S, Ozturk C (2012) Cluster based wireless sensor network routing using artificial bee colony algorithm. Wirel Netw 18(7):847–860
    • (2012) Wirel Netw , vol.18 , Issue.7 , pp. 847-860
    • Karaboga, D.1    Okdem, S.2    Ozturk, C.3
  • 44
    • 85018103913 scopus 로고    scopus 로고
    • Development of image segmentation techniques using swarm intelligence (ABC-based clustering algorithm for image segmentation). In: International Conference on Computing and Information Technology Al-Madinah Al-Munawwarah, Saudi Arabia
    • Sag T, Cunkas M (2012) Development of image segmentation techniques using swarm intelligence (ABC-based clustering algorithm for image segmentation). In: International Conference on Computing and Information Technology Al-Madinah Al-Munawwarah, Saudi Arabia, pp 95–100
    • (2012) pp 95–100
    • Sag, T.1    Cunkas, M.2
  • 47
    • 77955995704 scopus 로고    scopus 로고
    • Artificial bee colony algorithm
    • Karaboga D (2010) Artificial bee colony algorithm. Scholarpedia:6915. doi:10.4249/scholarpedia.6915
    • (2010) Scholarpedia , pp. 6915
    • Karaboga, D.1
  • 49
    • 4043077037 scopus 로고    scopus 로고
    • A new cluster validity measure and its application to image compression
    • Chou CH, Su MC, Lai E (2004) A new cluster validity measure and its application to image compression. Pattern Anal Appl 7(2):205–220. doi:10.1007/s10044-004-0218-1
    • (2004) Pattern Anal Appl , vol.7 , Issue.2 , pp. 205-220
    • Chou, C.H.1    Su, M.C.2    Lai, E.3
  • 52
    • 78650733396 scopus 로고    scopus 로고
    • Sum-of-squares based cluster validity index and significance analysis adaptive and natural computing algorithms. In: Kolehmainen M, Toivanen P, Beliczynski B (eds). Lecture notes in computer science, vol 5495. Springer, Berlin, pp 313–322
    • Zhao Q, Xu M, Fränti P (2009) Sum-of-squares based cluster validity index and significance analysis adaptive and natural computing algorithms. In: Kolehmainen M, Toivanen P, Beliczynski B (eds). Lecture notes in computer science, vol 5495. Springer, Berlin, pp 313–322. doi:10.1007/978-3-642-04921-7_32
    • (2009) doi:10.1007/978-3-642-04921-7_32
    • Zhao, Q.1    Xu, M.2    Fränti, P.3
  • 53
    • 84972893020 scopus 로고
    • A dendrite method for cluster analysis
    • Calinski T, Harabasz J (1974) A dendrite method for cluster analysis. Commun Stat 3:1–27
    • (1974) Commun Stat , vol.3
    • Calinski, T.1    Harabasz, J.2
  • 54
    • 0003770145 scopus 로고
    • ISODATA, A novel method of data analysis and pattern classification. Tech. Rep. NTIS No
    • Standford Research Institute, Menlo Park, CA
    • Ball G, Hubert L (1965) ISODATA, A novel method of data analysis and pattern classification. Tech. Rep. NTIS No. AD 699616, Standford Research Institute, Menlo Park, CA
    • (1965) AD 699616
    • Ball, G.1    Hubert, L.2
  • 56
    • 84937814205 scopus 로고    scopus 로고
    • Arbelaez P, Fowlkes C, Martin D The Berkeley Segmentation Dataset and Benchmark
    • Arbelaez P, Fowlkes C, Martin D The Berkeley Segmentation Dataset and Benchmark.http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/segbench/
  • 57
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • Milton F (1940) A comparison of alternative tests of significance for the problem of m rankings. Ann Math Stat 11(1):86–92. doi:10.2307/2235971
    • (1940) Ann Math Stat , vol.11 , Issue.1 , pp. 86-92
    • Milton, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.