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Variable selection in finite mixture of regression models with an unknown number of components.
Kuo-Jung Lee
Martin Feldkircher
Yi-Chi Chen
Published in:
Comput. Stat. Data Anal. (2021)
Keyphrases
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regression model
variable selection
model selection
input variables
group lasso
association rules
high dimensional
artificial neural networks
support vector machine
nearest neighbor
unsupervised learning
cross validation
regression analysis
logistic regression models