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1

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The relationship between plasma 18-hydroxy-11-deoxycorticosterone levels and production of hypertension in the rat

Carroll, J. ; Komanicky, P. ; Melby, J.C.

Amsterdam : Elsevier

Journal of Steroid Biochemistry 14 (1981), S. 989-995

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ISSN: 0022-4731

Keywords: (18-OH-DOC) ; (DOCA) ; 11-deoxy-corticosterone acetate, 21-hydroxy-4-pregnene-3,20-dione acetate ; 18-hydroxy-11-deoxycorticosterone, 18,21-hydroxy-4-pregnene-3,20-dione

Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002

Topics: Biology , Chemistry and Pharmacology

Type of Medium: Electronic Resource

URL: http://linkinghub.elsevier.com/retrieve/pii/0022-4731(81)90206-5

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2

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Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm (1985)

Soete, Geert De ; DeSarbo, Wayne S. ; Carroll, J. Douglas

Springer

Journal of classification 2 (1985), S. 173-192

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ISSN: 1432-1343

Keywords: Ultrametric trees ; Mathematical programming ; Variable importance

Source: Springer Online Journal Archives 1860-2000

Topics: Mathematics

Notes: Abstract This paper presents the development of a new methodology which simultaneously estimates in a least-squares fashion both an ultrametric tree and respective variable weightings for profile data that have been converted into (weighted) Euclidean distances. We first review the relevant classification literature on this topic. The new methodology is presented including the alternating least-squares algorithm used to estimate the parameters. The method is applied to a synthetic data set with known structure as a test of its operation. An application of this new methodology to ethnic group rating data is also discussed. Finally, extensions of the procedure to model additive, multiple, and three-way trees are mentioned.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF01908074

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3

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Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data (1987)

Soete, Geert ; Carroll, J. Douglas ; DeSarbo, Wayne S.

Springer

Journal of classification 4 (1987), S. 155-173

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ISSN: 1432-1343

Keywords: Hierarchical clustering ; Path length trees ; Mathematical programming ; Constrained classification methods

Source: Springer Online Journal Archives 1860-2000

Topics: Mathematics

Notes: Abstract A mathematical programming algorithm is developed for fitting ultrametric or additive trees to proximity data where external constraints are imposed on the topology of the tree. The two procedures minimize a least squares loss function. The method is illustrated on both synthetic and real data. A constrained ultrametric tree analysis was performed on similarities between 32 subjects based on preferences for ten odors, while a constrained additive tree analysis was carried out on some proximity data between kinship terms. Finally, some extensions of the methodology to other tree fitting procedures are mentioned.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF01896984

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4

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Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables (1984)

DeSarbo, Wayne S. ; Carroll, J. Douglas ; Clark, Linda A. ; [et al.]

Springer

Psychometrika 49 (1984), S. 57-78

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ISSN: 1860-0980

Keywords: Cluster Analysis ; Variable Importance

Source: Springer Online Journal Archives 1860-2000

Topics: Psychology

Notes: Abstract In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that “best” incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesizedCLUStering) for dealing with these two problems.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF02294206

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5

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The estimation of ultrametric and path length trees from rectangular proximity data (1984)

Soete, Geert ; DeSarbo, Wayne S. ; Furnas, George W. ; [et al.]

Springer

Psychometrika 49 (1984), S. 289-310

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ISSN: 1860-0980

Keywords: Cluster Analysis ; Trees

Source: Springer Online Journal Archives 1860-2000

Topics: Psychology

Notes: Abstract A least-squares algorithm for fitting ultrametric and path length or additive trees to two-way, two-mode proximity data is presented. The algorithm utilizes a penalty function to enforce the ultrametric inequality generalized for asymmetric, and generally rectangular (rather than square) proximity matrices in estimating an ultrametric tree. This stage is used in an alternating least-squares fashion with closed-form formulas for estimating path length constants for deriving path length trees. The algorithm is evaluated via two Monte Carlo studies. Examples of fitting ultrametric and path length trees are presented.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF02306021

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