The nested joint clustering via Dirichlet process mixture model
This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into acc...
| Veröffentlicht in: | Journal of statistical computation and simulation. - 1999. - 89(2019), 5 vom: 01., Seite 815-830 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | Journal of statistical computation and simulation |
| Schlagworte: | Journal Article Dirichlet mixture model Joint Clustering Longitudinal data |
| Online verfügbar |
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