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Volumn 5, Issue 2, 2013, Pages 155-161

PSOHS: An efficient two-stage approach for data clustering

Author keywords

Data clustering; Heuristic search algorithm; Particle swarm optimization

Indexed keywords

CLUSTERING PROBLEMS; DATA CLUSTERING; HEURISTIC SEARCH ALGORITHMS; META-HEURISTIC OPTIMIZATIONS; NEAR GLOBAL OPTIMUMS; NUMBER OF ITERATIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; TWO-STAGE APPROACHES;

EID: 84878110618     PISSN: 18659284     EISSN: 18659292     Source Type: Journal    
DOI: 10.1007/s12293-013-0110-x     Document Type: Article
Times cited : (15)

References (53)
  • 1
    • 80052960806 scopus 로고    scopus 로고
    • A survey: hybrid evolutionary algorithms for cluster analysis
    • Abul Hasan MJ, Ramakrishnan S (2011) A survey: hybrid evolutionary algorithms for cluster analysis. Artif Intell Rev 36: 179-204.
    • (2011) Artif Intell Rev , vol.36 , pp. 179-204
    • Abul Hasan, M.J.1    Ramakrishnan, S.2
  • 2
    • 77951292670 scopus 로고    scopus 로고
    • Exploring e-learning knowledge through ontological memetic agents
    • Acampora G, Gaeta M, Loia V (2010) Exploring e-learning knowledge through ontological memetic agents. Comput Intell 5: 66-77.
    • (2010) Comput Intell , vol.5 , pp. 66-77
    • Acampora, G.1    Gaeta, M.2    Loia, V.3
  • 3
    • 79955736465 scopus 로고    scopus 로고
    • Combining multi-agent paradigm and memetic computing for personalized and adaptive learning experiences
    • Acampora G, Gaeta M, Loia V (2011) Combining multi-agent paradigm and memetic computing for personalized and adaptive learning experiences. Comput Intell 27: 141-165.
    • (2011) Comput Intell , vol.27 , pp. 141-165
    • Acampora, G.1    Gaeta, M.2    Loia, V.3
  • 7
    • 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
    • Derrac J, Garcia S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut Comput 1: 3-18.
    • (2011) Swarm Evolut Comput , vol.1 , pp. 3-18
    • Derrac, J.1    Garcia, S.2    Molina, D.3    Herrera, F.4
  • 8
    • 67649403091 scopus 로고    scopus 로고
    • Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation
    • Fan J, Han M, Wang J (2009) Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. Pattern Recognit 42: 2527-2540.
    • (2009) Pattern Recognit , vol.42 , pp. 2527-2540
    • Fan, J.1    Han, M.2    Wang, J.3
  • 9
    • 34250683045 scopus 로고    scopus 로고
    • Application of honey-bee mating optimization algorithm on clustering
    • Fathian M, Amiri B, Maroosi A (2007) Application of honey-bee mating optimization algorithm on clustering. Appl Math Comput 190: 1502-1513.
    • (2007) Appl Math Comput , vol.190 , pp. 1502-1513
    • Fathian, M.1    Amiri, B.2    Maroosi, A.3
  • 10
    • 14644420283 scopus 로고    scopus 로고
    • Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO)
    • Feng D, Wenkang S, Liangzhou C, Yong D, Zhenfu Z (2005) Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO). Pattern Recognit Lett 26: 597-603.
    • (2005) Pattern Recognit Lett , vol.26 , pp. 597-603
    • Feng, D.1    Wenkang, S.2    Liangzhou, C.3    Yong, D.4    Zhenfu, Z.5
  • 11
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: efficiency versus interpretability of classifications
    • Forgy EW (1965) Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometrics 21: 2.
    • (1965) Biometrics , vol.21 , pp. 2
    • Forgy, E.W.1
  • 12
    • 33750972001 scopus 로고    scopus 로고
    • Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology
    • Friedman M, Last M, Makover Y, Kandel A (2007) Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology. Inf Sci 177: 467-475.
    • (2007) Inf Sci , vol.177 , pp. 467-475
    • Friedman, M.1    Last, M.2    Makover, Y.3    Kandel, A.4
  • 13
    • 77249134035 scopus 로고    scopus 로고
    • Dynamic hierarchical algorithms for document clustering
    • Gil-García R, Pons-Porrata A (2010) Dynamic hierarchical algorithms for document clustering. Pattern Recognit Lett 31: 469-477.
    • (2010) Pattern Recognit Lett , vol.31 , pp. 469-477
    • Gil-García, R.1    Pons-Porrata, A.2
  • 14
    • 33846661354 scopus 로고    scopus 로고
    • K-harmonic means data clustering with simulated annealing heuristic
    • Güngr Z, Ünler A (2007) K-harmonic means data clustering with simulated annealing heuristic. Appl Math Comput 184: 199-209.
    • (2007) Appl Math Comput , vol.184 , pp. 199-209
    • Güngr, Z.1    Ünler, A.2
  • 15
    • 64149102872 scopus 로고    scopus 로고
    • Applications of particle swarm optimisation in integrated process planning and scheduling
    • Guo YW, Li WD, Mileham AR, Owen GW (2009) Applications of particle swarm optimisation in integrated process planning and scheduling. Robot Comput-Integr Manuf 25: 280-288.
    • (2009) Robot Comput-Integr Manuf , vol.25 , pp. 280-288
    • Guo, Y.W.1    Li, W.D.2    Mileham, A.R.3    Owen, G.W.4
  • 16
    • 84863683972 scopus 로고    scopus 로고
    • In search of optimal centroids on data clustering using a binary search algorithm
    • Hatamlou A (2012) In search of optimal centroids on data clustering using a binary search algorithm. Pattern Recognit Lett 33: 1756-1760.
    • (2012) Pattern Recognit Lett , vol.33 , pp. 1756-1760
    • Hatamlou, A.1
  • 17
    • 84870058393 scopus 로고    scopus 로고
    • Black hole: a new heuristic optimization approach for data clustering
    • Hatamlou A (2013) Black hole: a new heuristic optimization approach for data clustering. Inf Sci 222: 175-184.
    • (2013) Inf Sci , vol.222 , pp. 175-184
    • Hatamlou, A.1
  • 18
    • 83755162323 scopus 로고    scopus 로고
    • Data clustering using big bang-big crunch algorithm
    • Hatamlou A, Abdullah S, Hatamlou M (2011a) Data clustering using big bang-big crunch algorithm. CCIS 241: 383-388.
    • (2011) CCIS , vol.241 , pp. 383-388
    • Hatamlou, A.1    Abdullah, S.2    Hatamlou, M.3
  • 20
    • 84864614741 scopus 로고    scopus 로고
    • A combined approach for clustering based on K-means and gravitational search algorithms
    • Hatamlou A, Abdullah S, Nezamabadi-pour H (2012) A combined approach for clustering based on K-means and gravitational search algorithms. Swarm Evolut Comput 6: 47-52.
    • (2012) Swarm Evolut Comput , vol.6 , pp. 47-52
    • Hatamlou, A.1    Abdullah, S.2    Nezamabadi-Pour, H.3
  • 23
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond K-means
    • Jain AK (2010) Data clustering: 50 years beyond K-means. Pattern Recognit Lett 31: 651-666.
    • (2010) Pattern Recognit Lett , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 24
    • 33750607505 scopus 로고    scopus 로고
    • New discrete method for particle swarm optimization and its application in transmission network expansion planning
    • Jin Y-X, Cheng H-Z, Zhang L (2007) New discrete method for particle swarm optimization and its application in transmission network expansion planning. Electr Power Syst Res 77: 227-233.
    • (2007) Electr Power Syst Res , vol.77 , pp. 227-233
    • Jin, Y.-X.1    Cheng, H.-Z.2    Zhang, L.3
  • 25
    • 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: 652-657.
    • (2011) Appl Soft Comput , vol.11 , pp. 652-657
    • Karaboga, D.1    Ozturk, C.2
  • 28
    • 36148984621 scopus 로고    scopus 로고
    • A recommender system using GA K-means clustering in an online shopping market
    • Kim K-j, Ahn H (2008) A recommender system using GA K-means clustering in an online shopping market. Expert Syst Appl 34: 1200-1209.
    • (2008) Expert Syst Appl , vol.34 , pp. 1200-1209
    • Kim, K.-J.1    Ahn, H.2
  • 30
    • 77957898653 scopus 로고    scopus 로고
    • Application of particle swarm optimization to association rule mining
    • Kuo RJ, Chao CM, Chiu YT (2009) Application of particle swarm optimization to association rule mining. Appl Soft Comput 11: 326-336.
    • (2009) Appl Soft Comput , vol.11 , pp. 326-336
    • Kuo, R.J.1    Chao, C.M.2    Chiu, Y.T.3
  • 31
    • 34147171087 scopus 로고    scopus 로고
    • Dynamic agglomerative clustering of gene expression profiles
    • Liang F, Wang N (2007) Dynamic agglomerative clustering of gene expression profiles. Pattern Recognit Lett 28: 1062-1076.
    • (2007) Pattern Recognit Lett , vol.28 , pp. 1062-1076
    • Liang, F.1    Wang, N.2
  • 32
    • 44449147811 scopus 로고    scopus 로고
    • MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach
    • Liao L, Lin T, Li B (2008) MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach. Pattern Recognit Lett 29: 1580-1588.
    • (2008) Pattern Recognit Lett , vol.29 , pp. 1580-1588
    • Liao, L.1    Lin, T.2    Li, B.3
  • 33
    • 41749090886 scopus 로고    scopus 로고
    • A tabu search approach for the minimum sum-of-squares clustering problem
    • Liu Y, Yi Z, Wu H, Ye M, Chen K (2008) A tabu search approach for the minimum sum-of-squares clustering problem. Inf Sci 178: 2680-2704.
    • (2008) Inf Sci , vol.178 , pp. 2680-2704
    • Liu, Y.1    Yi, Z.2    Wu, H.3    Ye, M.4    Chen, K.5
  • 35
    • 36148968972 scopus 로고    scopus 로고
    • A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding
    • Maitra M, Chatterjee A (2008) A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding. Expert Syst Appl 34: 1341-1350.
    • (2008) Expert Syst Appl , vol.34 , pp. 1341-1350
    • Maitra, M.1    Chatterjee, A.2
  • 36
    • 67349284734 scopus 로고    scopus 로고
    • Ant colony and particle swarm optimization for financial classification problems
    • Marinakis Y, Marinaki M, Doumpos M, Zopounidis C (2009) Ant colony and particle swarm optimization for financial classification problems. Expert Syst Appl 36: 10604-10611.
    • (2009) Expert Syst Appl , vol.36 , pp. 10604-10611
    • Marinakis, Y.1    Marinaki, M.2    Doumpos, M.3    Zopounidis, C.4
  • 37
    • 0033715579 scopus 로고    scopus 로고
    • Genetic algorithm-based clustering technique
    • Maulik U, Bandyopadhyay S (2000) Genetic algorithm-based clustering technique. Pattern Recognit 33: 1455-1465.
    • (2000) Pattern Recognit , vol.33 , pp. 1455-1465
    • Maulik, U.1    Bandyopadhyay, S.2
  • 38
    • 45049085799 scopus 로고    scopus 로고
    • Particle swarm optimization applied to the design of water supply systems
    • Montalvo I, Izquierdo J, Pérez R, Tung MM (2008) Particle swarm optimization applied to the design of water supply systems. Comput Math Appl 56: 769-776.
    • (2008) Comput Math Appl , vol.56 , pp. 769-776
    • Montalvo, I.1    Izquierdo, J.2    Pérez, R.3    Tung, M.M.4
  • 41
    • 77956056143 scopus 로고    scopus 로고
    • Projections onto convex sets through particle swarm optimization and its application for remote sensing image restoration
    • Papa JP, Fonseca LMG, de Carvalho LAS (2010) Projections onto convex sets through particle swarm optimization and its application for remote sensing image restoration. Pattern Recognit Lett 31: 1876-1886.
    • (2010) Pattern Recognit Lett , vol.31 , pp. 1876-1886
    • Papa, J.P.1    Fonseca, L.M.G.2    de Carvalho, L.A.S.3
  • 43
    • 33744985462 scopus 로고    scopus 로고
    • A mixed-integer programming approach to the clustering problem with an application in customer segmentation
    • Saglam B, Salman FS, SayIn S, Türkay M (2006) A mixed-integer programming approach to the clustering problem with an application in customer segmentation. Eur J Oper Res 173: 866-879.
    • (2006) Eur J Oper Res , vol.173 , pp. 866-879
    • Saglam, B.1    Salman, F.S.2    Sayin, S.3    Türkay, M.4
  • 44
    • 0031169139 scopus 로고    scopus 로고
    • A genetic c-means clustering algorithm applied to color image quantization
    • Scheunders P (1997) A genetic c-means clustering algorithm applied to color image quantization. Pattern Recognit 30: 859-866.
    • (1997) Pattern Recognit , vol.30 , pp. 859-866
    • Scheunders, P.1
  • 46
    • 40249116814 scopus 로고    scopus 로고
    • A new particle swarm optimization for the open shop scheduling problem
    • Sha DY, Hsu C-Y (2008) A new particle swarm optimization for the open shop scheduling problem. Comput Oper Res 35: 3243-3261.
    • (2008) Comput Oper Res , vol.35 , pp. 3243-3261
    • Sha, D.Y.1    Hsu, C.-Y.2
  • 48
    • 56349122418 scopus 로고    scopus 로고
    • Outlier identification and market segmentation using kernel-based clustering techniques
    • Wang C-H (2009) Outlier identification and market segmentation using kernel-based clustering techniques. Expert Syst Appl 36: 3744-3750.
    • (2009) Expert Syst Appl , vol.36 , pp. 3744-3750
    • Wang, C.-H.1
  • 49
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • Wang X, Yang J, Teng X, Xia W, Jensen R (2007) Feature selection based on rough sets and particle swarm optimization. Pattern Recognit Lett 28: 459-471.
    • (2007) Pattern Recognit Lett , vol.28 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 51
    • 77956059965 scopus 로고    scopus 로고
    • Evolutionary clustering based vector quantization and SPIHT coding for image compression
    • Yang S, Wu R, Wang M, Jiao L (2010) Evolutionary clustering based vector quantization and SPIHT coding for image compression. Pattern Recognit Lett 31: 1773-1780.
    • (2010) Pattern Recognit Lett , vol.31 , pp. 1773-1780
    • Yang, S.1    Wu, R.2    Wang, M.3    Jiao, L.4
  • 53
    • 33750453728 scopus 로고    scopus 로고
    • Clustering support vector machines for protein local structure prediction
    • Zhong W, He J, Harrison R, Tai PC, Pan Y (2007) Clustering support vector machines for protein local structure prediction. Expert Syst Appl 32: 518-526.
    • (2007) Expert Syst Appl , vol.32 , pp. 518-526
    • Zhong, W.1    He, J.2    Harrison, R.3    Tai, P.C.4    Pan, Y.5


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