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Volumn 3516, Issue III, 2005, Pages 476-483

Self-organizing Maps as substitutes for K-means clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GEOGRAPHIC INFORMATION SYSTEMS; PARAMETER ESTIMATION; CONFORMAL MAPPING; SELF ORGANIZING MAPS;

EID: 25144465421     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11428862_65     Document Type: Conference Paper
Times cited : (140)

References (43)
  • 2
    • 12344271105 scopus 로고    scopus 로고
    • The self-organizing map, geo-SOM, and relevant variants for GeoSciences
    • Elsevier
    • Bação, F., V. Lobo, M. Painho (2005). "The Self-Organizing Map, Geo-SOM, and relevant variants for GeoSciences." Computers & Geosciences, Vol. 31, Elsevier, pp. 155-163.
    • (2005) Computers & Geosciences , vol.31 , pp. 155-163
    • Bação, F.1    Lobo, V.2    Painho, M.3
  • 3
    • 21844522039 scopus 로고
    • A study of the classification capabilities of neural networks using unsupervised learning: A comparison with k-means clustering
    • Balakrishnan, P. V., M. C. Cooper, V.S. Jacob, P.A. Lewis (1994). "A study of the classification capabilities of neural networks using unsupervised learning: a comparison with k-means clustering." Psychometrika 59(4): 509-525.
    • (1994) Psychometrika , vol.59 , Issue.4 , pp. 509-525
    • Balakrishnan, P.V.1    Cooper, M.C.2    Jacob, V.S.3    Lewis, P.A.4
  • 4
    • 85042510792 scopus 로고    scopus 로고
    • Analytical GIS: The future
    • P. Longley and M. Batty. Cambridge, Geoinformation International
    • Batty, M. and P. Longley (1996). Analytical GIS: The Future. Spatial Analysis: Modelling in a GIS Environment. P. Longley and M. Batty. Cambridge, Geoinformation International: 345-352.
    • (1996) Spatial Analysis: Modelling in a GIS Environment , pp. 345-352
    • Batty, M.1    Longley, P.2
  • 5
    • 0002446608 scopus 로고    scopus 로고
    • GIS, geodemographics and spatial modeling in the UK financial service industry
    • Birkin, M. and G. Clarke (1998). "GIS, geodemographics and spatial modeling in the UK financial service industry." Journal of Housing Research 9: 87-111.
    • (1998) Journal of Housing Research , vol.9 , pp. 87-111
    • Birkin, M.1    Clarke, G.2
  • 6
    • 0005156028 scopus 로고    scopus 로고
    • GIS for business and service planning
    • M. Goodchild, P. Longley, D. Maguire and D. Rhind. Cambridge, Geoinformation
    • Birkin, M., G. Clarke, M. Clarke (1999). GIS for Business and Service Planning. Geographical Information Systems. M. Goodchild, P. Longley, D. Maguire and D. Rhind. Cambridge, Geoinformation.
    • (1999) Geographical Information Systems
    • Birkin, M.1    Clarke, G.2    Clarke, M.3
  • 8
    • 0012062278 scopus 로고    scopus 로고
    • Using the Kohonen algorithm for quick initialization of simple competitive learning algorithms
    • Bruges
    • Bodt, E. d., M. Cottrell, M. Verleysen (1999). Using the Kohonen Algorithm for Quick Initialization of Simple Competitive Learning Algorithms. ESANN'1999, Bruges.
    • (1999) ESANN'1999
    • Bodt, E.D.1    Cottrell, M.2    Verleysen, M.3
  • 9
    • 0013268246 scopus 로고    scopus 로고
    • Kohonen maps versus vector quantization for data analysis
    • Bruges
    • Bodt, E. d., M. Verleysen, M. Cottrell (1997). Kohonen Maps versus Vector Quantization for Data Analysis. ESANN'1997, Bruges.
    • (1997) ESANN'1997
    • Bodt, E.D.1    Verleysen, M.2    Cottrell, M.3
  • 10
    • 85153959666 scopus 로고
    • Convergence properties of the K-means algorithms
    • Cambridge, MA, MIT Press
    • Bottou, L. and Y. Bengio (1995). Convergence Properties of the K-Means Algorithms. Advances in Neural Information Processing System. Cambridge, MA, MIT Press. 7 G: 585-592.
    • (1995) Advances in Neural Information Processing System , vol.7 G , pp. 585-592
    • Bottou, L.1    Bengio, Y.2
  • 12
    • 0037877983 scopus 로고    scopus 로고
    • A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-means as a local search procedure
    • Cano, J. R., O. Cordon, F. Herrera, L. Sánchez (2002). "A Greedy Randomized Adaptive Search Procedure Applied to the Clustering Problem as an Initialization Process Using K-Means as a Local Search Procedure." International Journal of Intelligent and Fuzzy Systems 12: 235-242.
    • (2002) International Journal of Intelligent and Fuzzy Systems , vol.12 , pp. 235-242
    • Cano, J.R.1    Cordon, O.2    Herrera, F.3    Sánchez, L.4
  • 15
    • 0005476757 scopus 로고    scopus 로고
    • Fuzzy geodemographics: A contribution from fuzzy clustering methods
    • S. Carver. London, Taylor & Francis
    • Feng, Z. and R. Flowerdew (1998). Fuzzy geodemographics: a contribution from fuzzy clustering methods. Innovations in GIS 5. S. Carver. London, Taylor & Francis: 119-127.
    • (1998) Innovations in GIS , vol.5 , pp. 119-127
    • Feng, Z.1    Flowerdew, R.2
  • 16
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • Fisher, D. H. (1987). "Knowledge Acquisition Via Incremental Conceptual Clustering." Machine Learning 2: 139-172.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 18
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R. A. (1936). "The use of Multiple Measurements in Taxonomic Problems." Annals of Eugenics VII(II): 179-188.
    • (1936) Annals of Eugenics , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 19
    • 84956853519 scopus 로고    scopus 로고
    • On the use of self-organizing maps for clustering and visualization
    • Z. J.M. and R. J., Springer
    • Flexer, A. (1999). On the use of self-organizing maps for clustering and visualization. Principles of Data Mining and Knowledge Discovery. Z. J.M. and R. J., Springer. 1704: 80-88.
    • (1999) Principles of Data Mining and Knowledge Discovery , vol.1704 , pp. 80-88
    • Flexer, A.1
  • 21
    • 0010415411 scopus 로고    scopus 로고
    • Spatial clustering methods in data mining
    • H. Miller and J. Han. Londor, Taylor & Fancis
    • Han, J., M. Kamber, A. Tung (2001). Spatial clustering methods in data mining. Geographic Data Mining and Knowledge Discovery. H. Miller and J. Han. Londor, Taylor & Fancis: 188-217.
    • (2001) Geographic Data Mining and Knowledge Discovery , pp. 188-217
    • Han, J.1    Kamber, M.2    Tung, A.3
  • 26
    • 0028516390 scopus 로고
    • A new initialization technique for generalized Lloyd iteration
    • Katsavounidis, I., C.-C. Jay Kuo, Z. Zhang (1994). "A new initialization technique for generalized Lloyd iteration." IEEE Signal Processing Letters 1(10): 144-146.
    • (1994) IEEE Signal Processing Letters , vol.1 , Issue.10 , pp. 144-146
    • Katsavounidis, I.1    Kuo, C.-C.J.2    Zhang, Z.3
  • 30
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observation
    • University of California Press
    • MacQueen, J. (1967). Some methods for classification and analysis of multivariate observation. 5th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press.
    • (1967) 5th Berkeley Symposium on Mathematical Statistics and Probability
    • MacQueen, J.1
  • 31
    • 0034826101 scopus 로고    scopus 로고
    • An experimental comparison of several clustering and initialization methods
    • Meila, M. and D. Heckerman (2001). "An Experimental Comparison of Several Clustering and Initialization Methods." Machine Learning 42: 9-29.
    • (2001) Machine Learning , vol.42 , pp. 9-29
    • Meila, M.1    Heckerman, D.2
  • 32
    • 0029510298 scopus 로고
    • Using neurocomputing methods to classify Britain's residential areas
    • P. Fisher, Taylor and Francis
    • Openshaw, S., M. Blake, C. Wymer (1995). Using neurocomputing methods to classify Britain's residential areas. Innovations in GIS. P. Fisher, Taylor and Francis. 2: 97-111.
    • (1995) Innovations in GIS , vol.2 , pp. 97-111
    • Openshaw, S.1    Blake, M.2    Wymer, C.3
  • 34
    • 0000560762 scopus 로고
    • Classifying and regionalizing census data
    • S. Openshaw. Cambridge, UK, Geo Information International
    • Openshaw, S. and C. Wymer (1994). Classifying and regionalizing census data. Census Users Handbook. S. Openshaw. Cambridge, UK, Geo Information International: 239-270.
    • (1994) Census Users Handbook , pp. 239-270
    • Openshaw, S.1    Wymer, C.2
  • 35
    • 0033204902 scopus 로고    scopus 로고
    • An empirical comparison of four initialization methods for the k-means algorithm
    • Peña, J. M., J. A. Lozano, P. Larrañaga (1999). "An empirical comparison of four initialization methods for the k-means algorithm." Pattern recognition letters 20: 1027-1040.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 1027-1040
    • Peña, J.M.1    Lozano, J.A.2    Larrañaga, P.3
  • 39
    • 0021202650 scopus 로고
    • K-means type algorithms: A generalized convergence theorem and characterization of local optimality
    • Selim, S. Z. and M. A. Ismail (1984). "k-means type algorithms: a generalized convergence theorem and characterization of local optimality." IEEE Trans. Pattern Analysis and Machine Intelligence 6: 81-87.
    • (1984) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.6 , pp. 81-87
    • Selim, S.Z.1    Ismail, M.A.2
  • 41
    • 0006579128 scopus 로고    scopus 로고
    • Computationally efficient methods for selecting among mixtures of graphical models
    • J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith. Oxford, UK, Oxford University Press
    • Thiesson, B., C. Meek, D. Chickering, D. Heckerman (1999). Computationally Efficient Methods for Selecting Among Mixtures of Graphical Models. Bayesian Statistics. J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith. Oxford, UK, Oxford University Press. 6.
    • (1999) Bayesian Statistics , pp. 6
    • Thiesson, B.1    Meek, C.2    Chickering, D.3    Heckerman, D.4
  • 43
    • 0032342923 scopus 로고    scopus 로고
    • A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms
    • Waller, N. G., H. A. Kaiser, J. Illian, M. Manry (1998). "A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms." Psychometrika 63(1): 5-22.
    • (1998) Psychometrika , vol.63 , Issue.1 , pp. 5-22
    • Waller, N.G.1    Kaiser, H.A.2    Illian, J.3    Manry, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.