IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v67y2002i1p137-159.html
   My bibliography  Save this article

An examination of indexes for determining the number of clusters in binary data sets

Author

Listed:
  • Evgenia Dimitriadou
  • Sara Dolničar
  • Andreas Weingessel

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:psycho:v:67:y:2002:i:1:p:137-159
    DOI: 10.1007/BF02294713
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294713
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294713?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Glenn Milligan, 1981. "A monte carlo study of thirty internal criterion measures for cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 46(2), pages 187-199, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Boztug, Yasemin & Reutterer, Thomas, 2008. "A combined approach for segment-specific market basket analysis," European Journal of Operational Research, Elsevier, vol. 187(1), pages 294-312, May.
    2. Michael C. Thrun & Alfred Ultsch, 2021. "Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 280-312, July.
    3. Giovanni De Luca & Paola Zuccolotto, 2017. "Dynamic tail dependence clustering of financial time series," Statistical Papers, Springer, vol. 58(3), pages 641-657, September.
    4. Roberta Padulano & Giuseppe Giudice, 2018. "A Mixed Strategy Based on Self-Organizing Map for Water Demand Pattern Profiling of Large-Size Smart Water Grid Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3671-3685, September.
    5. 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.
    6. Tian, Qing & Lemos, Maria Carmen, 2018. "Household Livelihood Differentiation and Vulnerability to Climate Hazards in Rural China," World Development, Elsevier, vol. 108(C), pages 321-331.
    7. Jerzy Korzeniewski, 2016. "New Method Of Variable Selection For Binary Data Cluster Analysis," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 295-304, June.
    8. Sara Dolnicar & Friedrich Leisch, 2010. "Evaluation of structure and reproducibility of cluster solutions using the bootstrap," Marketing Letters, Springer, vol. 21(1), pages 83-101, March.
    9. Boztuğ, Yasemin & Reutterer, Thomas, 2006. "A combined approach for segment-specific analysis of market basket data," SFB 649 Discussion Papers 2006-006, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    10. Thomas Reutterer & Kurt Hornik & Nicolas March & Kathrin Gruber, 2017. "A data mining framework for targeted category promotions," Journal of Business Economics, Springer, vol. 87(3), pages 337-358, April.
    11. Korzeniewski Jerzy, 2016. "New Method of Variable Selection for Binary Data Cluster Analysis," Statistics in Transition New Series, Statistics Poland, vol. 17(2), pages 295-304, June.
    12. Les Dolega & Jonathan Reynolds & Alex Singleton & Michalis Pavlis, 2021. "Beyond retail: New ways of classifying UK shopping and consumption spaces," Environment and Planning B, , vol. 48(1), pages 132-150, January.
    13. Magdalina, Ana & Bouzaima, Martin, 2021. "An empirical investigation of European airline business models: Classification and hybridisation," Journal of Air Transport Management, Elsevier, vol. 93(C).
    14. repec:hum:wpaper:sfb649dp2006-006 is not listed on IDEAS
    15. de Juana-Espinosa, Susana & Luján-Mora, Sergio, 2019. "Open government data portals in the European Union: Considerations, development, and expectations," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    16. Pierpaolo D'Urso & Girish Prayag & Marta Disegna & Riccardo Massari, 2013. "Market Segmentation using Bagged Fuzzy C–Means (BFCM): Destination Image of Western Europe among Chinese Travellers," BEMPS - Bozen Economics & Management Paper Series BEMPS13, Faculty of Economics and Management at the Free University of Bozen.
    17. Michael Brusco & Douglas Steinley, 2007. "A Comparison of Heuristic Procedures for Minimum Within-Cluster Sums of Squares Partitioning," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 583-600, December.
    18. Ying Liu & Sudha Ram & Robert F. Lusch & Michael Brusco, 2010. "Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation," Marketing Science, INFORMS, vol. 29(5), pages 880-894, 09-10.
    19. Jerzy Korzeniewski, 2016. "New Method Of Variable Selection For Binary Data Cluster Analysis," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 295-304, June.
    20. Dolnicar, Sara & Grün, Bettina & Leisch, Friedrich, 2016. "Increasing sample size compensates for data problems in segmentation studies," Journal of Business Research, Elsevier, vol. 69(2), pages 992-999.
    21. Hu, Yue & Dai, Liang & Fuellhart, Kurt & Witlox, Frank, 2024. "Examining competition among airline regarding route portfolios at domestic hubs under government regulation: The case of China's aviation market," Journal of Air Transport Management, Elsevier, vol. 116(C).
    22. Rainer Dangl & Friedrich Leisch, 2020. "Effects of Resampling in Determining the Number of Clusters in a Data Set," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 558-583, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. du Jardin, Philippe & Séverin, Eric, 2011. "Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model," MPRA Paper 44262, University Library of Munich, Germany.
    2. Laurent Lesnard, 2010. "Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns," Sociological Methods & Research, , vol. 38(3), pages 389-419, February.
    3. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 123-127, March.
    11. Laurent Lesnard, 2006. "Optimal Matching and Social Sciences," Working Papers 2006-01, Center for Research in Economics and Statistics.
    12. 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.
    13. Qiu, Weiliang & Joe, Harry, 2006. "Separation index and partial membership for clustering," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 585-603, February.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
    19. 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).
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:67:y:2002:i:1:p:137-159. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.