Loading...
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
In model-based clustering mixture models are used to group data points into clusters. A useful concept introduced for Gaussian mixtures by Malsiner Walli et al. (Stat Comput 26:303–324, 2016) are sparse finite mixtures, where the prior distribution on the weight distribution of a mixture with K comp...
Na minha lista:
| Udgivet i: | Adv Data Anal Classif |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer Berlin Heidelberg
2018
|
| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6448299/ https://ncbi.nlm.nih.gov/pubmed/31007770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11634-018-0329-y |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|