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.
| Original language | English |
|---|---|
| Pages (from-to) | 297-310 |
| Number of pages | 14 |
| Journal | Journal of Classification |
| Volume | 14 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1997 |
Keywords
- alternating least squares
- cluster analysis
- three-way proximity data
- INDIVIDUAL-DIFFERENCES