IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v64y1999i1p9-24.html
   My bibliography  Save this article

Indclas: A three-way hierarchical classes model

Author

Listed:
  • Iwin Leenen
  • Iven Mechelen
  • Paul Boeck
  • Seymour Rosenberg

Abstract

No abstract is available for this item.

Suggested Citation

  • Iwin Leenen & Iven Mechelen & Paul Boeck & Seymour Rosenberg, 1999. "Indclas: A three-way hierarchical classes model," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 9-24, March.
    • Handle: RePEc:spr:psycho:v:64:y:1999:i:1:p:9-24
    DOI: 10.1007/BF02294316
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294316
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294316?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. J. Carroll & Phipps Arabie, 1983. "Indclus: An individual differences generalization of the adclus model and the mapclus algorithm," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 157-169, June.
    2. Even Mechelen & Paul Boeck, 1990. "Projection of a binary criterion into a model of hierarchical classes," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 677-694, December.
    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. Tom Wilderjans & E. Ceulemans & I. Mechelen, 2012. "The SIMCLAS Model: Simultaneous Analysis of Coupled Binary Data Matrices with Noise Heterogeneity Between and Within Data Blocks," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 724-740, October.
    2. Iwin Leenen & Iven Mechelen & Andrew Gelman & Stijn Knop, 2008. "Bayesian Hierarchical Classes Analysis," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 39-64, March.
    3. Wilderjans, Tom & Ceulemans, Eva & Van Mechelen, Iven, 2009. "Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1086-1098, February.
    4. Eva Ceulemans & Iven Mechelen, 2005. "Hierarchical classes models for three-way three-mode binary data: interrelations and model selection," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 461-480, September.
    5. Eva Ceulemans & Iven Mechelen, 2004. "Tucker2 hierarchical classes analysis," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 375-399, September.
    6. Meulders, Michel & Boeck, Paul De & Mechelen, Iven Van, 2001. "Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations," Computational Statistics & Data Analysis, Elsevier, vol. 38(2), pages 217-233, December.
    7. Iwin Leenen & Iven Mechelen & Paul Boeck, 2001. "Models for ordinal hierarchical classes analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 389-403, September.

    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. J. Carroll & James Corter, 1995. "A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees," Journal of Classification, Springer;The Classification Society, vol. 12(2), pages 283-313, September.
    2. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
    3. Eric Maris & Paul Boeck & Iven Mechelen, 1996. "Probability matrix decomposition models," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 7-29, March.
    4. Joachim Harloff, 2011. "Extracting cover sets from free fuzzy sorting data," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1445-1457, October.
    5. Tom Wilderjans & Dirk Depril & Iven Van Mechelen, 2013. "Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms," Journal of Classification, Springer;The Classification Society, vol. 30(1), pages 56-74, April.
    6. Michel Meulders & Francis Tuerlinckx & Wolf Vanpaemel, 2013. "Constrained Multilevel Latent Class Models for the Analysis of Three-Way Three-Mode Binary Data," Journal of Classification, Springer;The Classification Society, vol. 30(3), pages 306-337, October.
    7. Bocci, Laura & Vicari, Donatella & Vichi, Maurizio, 2006. "A mixture model for the classification of three-way proximity data," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1625-1654, April.
    8. Vichi, Maurizio, 1998. "Principal classifications analysis: a method for generating consensus dendrograms and its application to three-way data," Computational Statistics & Data Analysis, Elsevier, vol. 27(3), pages 311-331, May.
    9. Paolo Giordani & Henk Kiers, 2012. "FINDCLUS: Fuzzy INdividual Differences CLUStering," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 170-198, July.
    10. Laura Bocci & Donatella Vicari, 2019. "ROOTCLUS: Searching for “ROOT CLUSters” in Three-Way Proximity Data," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 941-985, December.
    11. Simon Blanchard & Wayne DeSarbo & A. Atalay & Nukhet Harmancioglu, 2012. "Identifying consumer heterogeneity in unobserved categories," Marketing Letters, Springer, vol. 23(1), pages 177-194, March.
    12. B. Mirkin, 1987. "Additive clustering and qualitative factor analysis methods for similarity matrices," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 7-31, March.
    13. Stephen L. France & Wen Chen & Yumin Deng, 2017. "ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions," 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. 11(2), pages 371-393, June.
    14. Meulders, Michel & Boeck, Paul De & Mechelen, Iven Van, 2001. "Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations," Computational Statistics & Data Analysis, Elsevier, vol. 38(2), pages 217-233, December.
    15. Henk Kiers, 1997. "A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models," Journal of Classification, Springer;The Classification Society, vol. 14(2), pages 297-310, September.
    16. Adri Smaling & Geert Soete, 1992. "Reviews," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 451-457, September.
    17. J. Carroll & Suzanne Winsberg, 1995. "Fitting an extended INDSCAL model to three-way proximity data," Journal of Classification, Springer;The Classification Society, vol. 12(1), pages 57-71, March.
    18. Tom Wilderjans & Dirk Depril & Iven Mechelen, 2012. "Block-Relaxation Approaches for Fitting the INDCLUS Model," Journal of Classification, Springer;The Classification Society, vol. 29(3), pages 277-296, October.
    19. Laura Bocci & Donatella Vicari, 2017. "GINDCLUS: Generalized INDCLUS with External Information," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 355-381, June.
    20. Anil Chaturvedi & J. Carroll, 1994. "An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models," Journal of Classification, Springer;The Classification Society, vol. 11(2), pages 155-170, September.

    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:64:y:1999:i:1:p:9-24. 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.