IDEAS home Printed from https://ideas.repec.org/r/spr/psycho/v46y1981i2p187-199.html
   My bibliography  Save this item

A monte carlo study of thirty internal criterion measures for cluster analysis

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. du Jardin, Philippe & Séverin, Eric, 2012. "Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time," European Journal of Operational Research, Elsevier, vol. 221(2), pages 378-396.
  2. Xie, Xian-Jin & Pendergast, Jane & Clarke, William, 2008. "Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2703-2713, January.
  3. Christian Hennig, 2022. "An empirical comparison and characterisation of nine popular clustering methods," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 201-229, March.
  4. P. Du Jardin & E. Séverin, 2011. "Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model," Post-Print hal-00801878, HAL.
  5. du Jardin, Philippe & Séverin, Eric, 2010. "Dynamic analysis of the business failure process: A study of bankruptcy trajectories," MPRA Paper 44379, University Library of Munich, Germany.
  6. Guidi, Lionel & Ibanez, Frédéric & Calcagno, Vincent & Beaugrand, Grégory, 2009. "A new procedure to optimize the selection of groups in a classification tree: Applications for ecological data," Ecological Modelling, Elsevier, vol. 220(4), pages 451-461.
  7. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
  8. Henner Gimpel & Daniel Rau & Maximilian Röglinger, 2018. "Understanding FinTech start-ups – a taxonomy of consumer-oriented service offerings," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 245-264, August.
  9. Evgenia Dimitriadou & Sara Dolničar & Andreas Weingessel, 2002. "An examination of indexes for determining the number of clusters in binary data sets," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 137-159, March.
  10. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 123-127, March.
  11. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
  12. Bauer, Hans H. & Fischer, Marc, 2000. "Product life cycle patterns for pharmaceuticals and their impact on R&D profitability of late mover products," International Business Review, Elsevier, vol. 9(6), pages 703-725, December.
  13. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
  14. Ertl, Antal & Horn, Dániel & Kiss, Hubert János, 2024. "Economic Preferences across Generations and Family Clusters: A Comment," I4R Discussion Paper Series 105, The Institute for Replication (I4R).
  15. André Alves & Filipe Marcelino & Eduardo Gomes & Jorge Rocha & Mário Caetano, 2022. "Spatiotemporal Land-Use Dynamics in Continental Portugal 1995–2018," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
  16. Weinand, J.M. & McKenna, R. & Fichtner, W., 2019. "Developing a municipality typology for modelling decentralised energy systems," Utilities Policy, Elsevier, vol. 57(C), pages 75-96.
  17. Laurent Lesnard, 2006. "Optimal Matching and Social Sciences," Working Papers 2006-01, Center for Research in Economics and Statistics.
  18. Mark Chiang & Boris Mirkin, 2010. "Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 3-40, March.
  19. Denisa Kocanova & Viliam Kovac & Vitaliy Serzhanov & Jan Buleca, 2023. "Differences and Similarities in Patterns of Ageing Society in the European Union," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(1), pages 45-64, March.
  20. José Marcos Afonso Casado & Montserrat Hernández López, 1998. "Una panorámica regional de la educación superior en España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 10, pages 5-18, Diciembre.
  21. du Jardin, Philippe, 2021. "Forecasting corporate failure using ensemble of self-organizing neural networks," European Journal of Operational Research, Elsevier, vol. 288(3), pages 869-885.
  22. Qiu, Weiliang & Joe, Harry, 2006. "Separation index and partial membership for clustering," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 585-603, February.
  23. Antony Paulraj, 2009. "Environmental motivations: a classification scheme and its impact on environmental strategies and practices," Business Strategy and the Environment, Wiley Blackwell, vol. 18(7), pages 453-468, November.
  24. Gustafsson, Mika & Hörnquist, Michael & Lombardi, Anna, 2006. "Comparison and validation of community structures in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 559-576.
  25. N. Sriram & Scott Lewis, 1993. "Constructing optimal ultrametrics," Journal of Classification, Springer;The Classification Society, vol. 10(2), pages 241-268, December.
  26. Francesco Ciampi & Valentina Cillo & Fabio Fiano, 2020. "Combining Kohonen maps and prior payment behavior for small enterprise default prediction," Small Business Economics, Springer, vol. 54(4), pages 1007-1039, April.
  27. Ernst, Holger & Wickede, Anje, 1999. "Einflußfaktoren auf die Glaubwürdigkeit kundenorientierter Produkt-Vorankündigungen: Ein signaltheoretischer Ansatz," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 515, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  28. Robertson, Dylan L. & Reynolds, Arthur J., 2010. "Family profiles and educational attainment," Children and Youth Services Review, Elsevier, vol. 32(8), pages 1077-1085, August.
  29. Laurent Lesnard, 2010. "Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns," Sociological Methods & Research, , vol. 38(3), pages 389-419, February.
  30. Massimiliano Agovino & Maria Ferrara & Antonio Garofalo, 2017. "The driving factors of separate waste collection in Italy: a multidimensional analysis at provincial level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2297-2316, December.
  31. Jens Passlick & Sonja Dreyer & Daniel Olivotti & Lukas Grützner & Dennis Eilers & Michael H. Breitner, 2021. "Predictive maintenance as an internet of things enabled business model: A taxonomy," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 67-87, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.