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Volumn 37, Issue 7, 2010, Pages 4761-4767

An artificial bee colony approach for clustering

Author keywords

Artificial bee colony; Clustering; K means; Meta heuristic algorithm

Indexed keywords

COLONY CLUSTERING; COMPUTATIONAL SIMULATION; DATA ANALYSIS; DATA MINING TECHNIQUES; HEURISTICS ALGORITHM; K CLUSTER; K-MEANS; META HEURISTIC ALGORITHM; PROCESSING TIME; PSO ALGORITHMS; QUALITY OF SOLUTION; REAL DATA SETS; SEARCH DIRECTION;

EID: 77950189133     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.11.003     Document Type: Article
Times cited : (337)

References (21)
  • 1
    • 0029478402 scopus 로고
    • A tabu search approach to the clustering problem
    • Al-Sultan K.S. A tabu search approach to the clustering problem. Pattern Recognition 28 9 (1995) 1443-1451
    • (1995) Pattern Recognition , vol.28 , Issue.9 , pp. 1443-1451
    • Al-Sultan, K.S.1
  • 2
    • 0036798199 scopus 로고    scopus 로고
    • An evolutionary technique based on K-means algorithm for optimal clustering in RN
    • Bandyopadhyay S., and Maulik U. An evolutionary technique based on K-means algorithm for optimal clustering in RN. Information Science 146 (2002) 221-237
    • (2002) Information Science , vol.146 , pp. 221-237
    • Bandyopadhyay, S.1    Maulik, U.2
  • 3
    • 37249039513 scopus 로고    scopus 로고
    • An artificial bee colony (ABC) algorithm for numeric function optimization
    • May 12-14. Indianapolis, IN, USA
    • Basturk B. & Karaboga D. (2006). An artificial bee colony (ABC) algorithm for numeric function optimization. In IEEE swarm intelligence symposium 2006, May 12-14. Indianapolis, IN, USA.
    • (2006) IEEE swarm intelligence symposium
    • Basturk, B.1    Karaboga, D.2
  • 5
    • 0001773546 scopus 로고
    • On the complexity of clustering problems
    • Optimisation and operations research. Beckmenn M., and Kunzi H.P. (Eds), Springer, Berlin
    • Brucker P. On the complexity of clustering problems. In: Beckmenn M., and Kunzi H.P. (Eds). Optimisation and operations research. Lecture notes in economics and mathematical systems Vol. 157 (1978), Springer, Berlin 45-54
    • (1978) Lecture notes in economics and mathematical systems , vol.157 , pp. 45-54
    • Brucker, P.1
  • 6
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency versus interpretability of classification
    • Forgy E.W. Cluster analysis of multivariate data: Efficiency versus interpretability of classification. Biometrics 21 (1965) 768-769
    • (1965) Biometrics , vol.21 , pp. 768-769
    • Forgy, E.W.1
  • 7
    • 0002819121 scopus 로고
    • A comparison of selection schemes used in genetic algorithms
    • G. J. E. Rawlins Ed
    • Goldberg D. E. & Deb, K. (1991). A comparison of selection schemes used in genetic algorithms. In G. J. E. Rawlins (Ed.), Foundations of genetic algorithms (pp. 69-93).
    • (1991) Foundations of genetic algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 8
    • 33846661354 scopus 로고    scopus 로고
    • K-harmonic means data clustering with simulated annealing heuristic
    • Güngör Z., and Ünler A. K-harmonic means data clustering with simulated annealing heuristic. Applied Mathematics and Computation 184 2 (2007) 199-209
    • (2007) Applied Mathematics and Computation , vol.184 , Issue.2 , pp. 199-209
    • Güngör, Z.1    Ünler, A.2
  • 10
    • 77950189538 scopus 로고    scopus 로고
    • Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization. Technical report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department.
    • Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization. Technical report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department.
  • 11
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • Karaboga D., and Basturk B. On the performance of artificial bee colony (ABC) algorithm. Applied Soft Computing 8 1 (2008) 687-697
    • (2008) Applied Soft Computing , vol.8 , Issue.1 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 13
    • 0033715579 scopus 로고    scopus 로고
    • Genetic algorithm based clustering technique
    • Mualik U., and Bandyopadhyay S. Genetic algorithm based clustering technique. Pattern Recognition 33 (2002) 1455-1465
    • (2002) Pattern Recognition , vol.33 , pp. 1455-1465
    • Mualik, U.1    Bandyopadhyay, S.2
  • 14
    • 0030189865 scopus 로고    scopus 로고
    • In search of optimal clusters using genetic algorithms
    • Murthy C.A., and Chowdhury N. In search of optimal clusters using genetic algorithms. Pattern Recognition Letters 17 (1996) 825-832
    • (1996) Pattern Recognition Letters , vol.17 , pp. 825-832
    • Murthy, C.A.1    Chowdhury, N.2
  • 16
    • 0024195535 scopus 로고
    • Assessing the benefits of cooperation in honeybee foraging: Search costs, forage quality, and competitive ability
    • Seeley T.D., and Visscher P.K. Assessing the benefits of cooperation in honeybee foraging: Search costs, forage quality, and competitive ability. Behavioral Ecology and Sociobiology 22 (1988) 229-237
    • (1988) Behavioral Ecology and Sociobiology , vol.22 , pp. 229-237
    • Seeley, T.D.1    Visscher, P.K.2
  • 17
    • 0026359031 scopus 로고
    • A simulated annealing algorithm for the clustering problem
    • Selim S.Z., and Al-Sultan K. A simulated annealing algorithm for the clustering problem. Pattern Recognition 24 10 (1991) 1003-1008
    • (1991) Pattern Recognition , vol.24 , Issue.10 , pp. 1003-1008
    • Selim, S.Z.1    Al-Sultan, K.2
  • 18
    • 0021202650 scopus 로고
    • K-means type algorithms: A generalized convergence theorem and characterization of local optimality
    • Selim S.Z., and Ismail M.A. K-means type algorithms: A generalized convergence theorem and characterization of local optimality. IEEE Transactions on Pattern Analysis and Machine Intelligence 6 (1984) 81-87
    • (1984) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.6 , pp. 81-87
    • Selim, S.Z.1    Ismail, M.A.2
  • 20
    • 0033882604 scopus 로고    scopus 로고
    • A tabu-search-based heuristic for clustering
    • Sung C.S., and Jin H.W. A tabu-search-based heuristic for clustering. Pattern Recognition 33 (2000) 849-858
    • (2000) Pattern Recognition , vol.33 , pp. 849-858
    • Sung, C.S.1    Jin, H.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.