Publication

A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models

Kiers, H. A. L., 1997, In : Journal of Classification. 14, 2, p. 297-310 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Kiers, H. A. L. (1997). A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. Journal of Classification, 14(2), 297-310. https://doi.org/10.1007/s003579900014

Author

Kiers, Henk A.L. / A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. In: Journal of Classification. 1997 ; Vol. 14, No. 2. pp. 297-310.

Harvard

Kiers, HAL 1997, 'A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models', Journal of Classification, vol. 14, no. 2, pp. 297-310. https://doi.org/10.1007/s003579900014

Standard

A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. / Kiers, Henk A.L.

In: Journal of Classification, Vol. 14, No. 2, 1997, p. 297-310.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Kiers HAL. A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. Journal of Classification. 1997;14(2):297-310. https://doi.org/10.1007/s003579900014


BibTeX

@article{1e70d7b5ac354aa78c75071447fb472a,
title = "A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models",
abstract = "The SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models deals with a parameter matrix that occurs twice in the model by considering the two occurrences as independent parameter matrices. This procedure has been justified empirically by the observation that upon convergence of the algorithm to the global optimum, the two independently treated parameter matrices turn out to be equal. In the present paper, results are presented that contradict this finding, and a modification of SINDCLUS is presented which obviates the need for independently treating two occurrences of the same parameter matrix.",
keywords = "alternating least squares, cluster analysis, three-way proximity data, INDIVIDUAL-DIFFERENCES",
author = "Kiers, {Henk A.L.}",
year = "1997",
doi = "10.1007/s003579900014",
language = "English",
volume = "14",
pages = "297--310",
journal = "Journal of Classification",
issn = "0176-4268",
publisher = "SPRINGER",
number = "2",

}

RIS

TY - JOUR

T1 - A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models

AU - Kiers, Henk A.L.

PY - 1997

Y1 - 1997

N2 - The SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models deals with a parameter matrix that occurs twice in the model by considering the two occurrences as independent parameter matrices. This procedure has been justified empirically by the observation that upon convergence of the algorithm to the global optimum, the two independently treated parameter matrices turn out to be equal. In the present paper, results are presented that contradict this finding, and a modification of SINDCLUS is presented which obviates the need for independently treating two occurrences of the same parameter matrix.

AB - The SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models deals with a parameter matrix that occurs twice in the model by considering the two occurrences as independent parameter matrices. This procedure has been justified empirically by the observation that upon convergence of the algorithm to the global optimum, the two independently treated parameter matrices turn out to be equal. In the present paper, results are presented that contradict this finding, and a modification of SINDCLUS is presented which obviates the need for independently treating two occurrences of the same parameter matrix.

KW - alternating least squares

KW - cluster analysis

KW - three-way proximity data

KW - INDIVIDUAL-DIFFERENCES

U2 - 10.1007/s003579900014

DO - 10.1007/s003579900014

M3 - Article

VL - 14

SP - 297

EP - 310

JO - Journal of Classification

JF - Journal of Classification

SN - 0176-4268

IS - 2

ER -

ID: 849291