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A Comparison of the Classification Capabilities of the 1-Dimensional Kohonen Neural Network with Two Partitioning and Three Hierarchical Cluster Analysis Algorithms.
Peer reviewed Peer reviewed
Waller, Niels G.; Kaiser, Heather A.; Illian, Janine B.; Manry, Mike – Psychometrika, 1998
The classification capabilities of the one-dimensional Kohonen neural network (T. Kohonen, 1995) were compared with those of two partitioning and three hierarchical cluster methods in 2,580 data sets with known cluster structure. Overall, the performance of the Kohonen networks was similar to, or better than, that of the others. Implications for…
Descriptors: Algorithms, Classification, Cluster Analysis, Comparative Analysis
A General Approach to Categorical Data Analysis with Missing Data, Using Generalized Linear Models with Composite Links.
Peer reviewed Peer reviewed
Rindskopf, David – Psychometrika, 1992
A general approach is described for the analysis of categorical data when there are missing values on one or more observed variables. The method is based on generalized linear models with composite links. Situations in which the model can be used are described. (SLD)
Descriptors: Algorithms, Classification, Data Analysis, Estimation (Mathematics)
Robust Canonical Discriminant Analysis.
Peer reviewed Peer reviewed
Verboon, Peter; van der Lans, Ivo A. – Psychometrika, 1994
A method for robust canonical discriminant analysis via two robust objective loss functions is discussed. Majorization is used at several stages in the minimization procedure to obtain a monotonically convergent algorithm. A simulation study and empirical data illustrate the procedure. (SLD)
Descriptors: Algorithms, Classification, Discriminant Analysis, Least Squares Statistics
Analysis of Asymmetry by a Slide-Vector.
Peer reviewed Peer reviewed
Zielman, Berrie; Heiser, Willem J. – Psychometrika, 1993
An algorithm based on the majorization theory of J. de Leeuw and W. J. Heiser is presented for fitting the slide-vector model. It views the model as a constrained version of the unfolding model. A three-way variant is proposed, and two examples from market structure analysis are presented. (SLD)
Descriptors: Algorithms, Classification, Equations (Mathematics), Estimation (Mathematics)
The Application of Latent Class Models in Adaptive Testing.
Peer reviewed Peer reviewed
Macready, George B.; Dayton, C. Mitchell – Psychometrika, 1992
An adaptive testing algorithm is presented based on an alternative modeling framework, and its effectiveness is investigated in a simulation based on real data. The algorithm uses a latent class modeling framework in which assessed latent attributes are assumed to be categorical variables. (SLD)
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Classification
Constrained Latent Class Analysis: Simultaneous Classification and Scaling of Discrete Choice Data.
Peer reviewed Peer reviewed
Bockenholt, Ulf; Bockenholt, Ingo – Psychometrika, 1991
A reparameterization of a latent class model is presented to classify and scale nomial and ordered categorical choice data simultaneously. The model extension represents a nonhomogeneous population as a mixture of homogeneous subpopulations. Simulated data and data from a magazine preference survey of 347 college students illustrate the model.…
Descriptors: Algorithms, Classification, College Students, Computer Simulation