Model-based clustering based on sparse finite Gaussian mixtures
In the framework of Bayesian model-based clustering based on a finite mixture of Gaussian distributions, we present a joint approach to estimate the number of mixture components and identify cluster-relevant variables simultaneously as well as to obtain an identified model. Our approach consists in...
| Main Authors: | , , |
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| Format: | Others |
| Language: | en |
| Published: |
Springer
2016
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| Subjects: | |
| Online Access: | http://epub.wu.ac.at/4837/1/art%253A10.1007%252Fs11222%2D014%2D9500%2D2.pdf http://dx.doi.org/10.1007/s11222-014-9500-2 |