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| Algorithms | 2 |
| Cluster Analysis | 2 |
| Estimation (Mathematics) | 2 |
| Monte Carlo Methods | 2 |
| Classification | 1 |
| Computer Simulation | 1 |
| Correlation | 1 |
| Equations (Mathematics) | 1 |
| Least Squares Statistics | 1 |
| Mathematical Models | 1 |
| Regression (Statistics) | 1 |
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| DeSarbo, Wayne S. | 1 |
| Schweizer, Karl | 1 |
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| Journal Articles | 2 |
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Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1989
A method is presented that simultaneously estimates cluster membership and corresponding regression functions for a sample of observations or subjects. This methodology is presented with the simulated annealing-based algorithm. A set of Monte Carlo analyses is included to demonstrate the performance of the algorithm. (SLD)
Descriptors: Algorithms, Cluster Analysis, Estimation (Mathematics), Least Squares Statistics
Peer reviewedSchweizer, Karl – Multivariate Behavioral Research, 1991
A mathematical formula is introduced for the effect of integrating data. A method is then derived to eliminate the effect from correlations of variables, including mean composites, thus allowing for a clustering algorithm that requires allocation of variables according to the magnitude of their correlations. Examples illustrate the procedure. (SLD)
Descriptors: Algorithms, Classification, Cluster Analysis, Computer Simulation
