Sentence examples for mixture models is from inspiring English sources

Spatial clustering of high density bins using mixture models is used to detect flaws.

A detailed evaluation of the clustering quality obtained by DVMM in comparison to other mixture models is presented.

The main idea behind the mixture models is to cluster the experimental conditions into an optimal number of subgroups and build a different regression model that relates the gene expression data (X) to a cell response (Y) for each subgroup.

Therefore, the use of mixture models is limited to simpler covariate analyses.

A method akin to clustering, known as mixture models, is used to identify genes that define distinct subtypes.

The EM algorithm for ML estimation of finite mixture models is implemented in the R package flexmix (Grün and Leisch, 2008; Leisch, 2004).

Mixture models are important modeling approaches that account for data heterogeneity.

Moreover, mixture models are an interesting and flexible model family.

This offers an explanation as to why mixture models are often referred to as overdispersion models.

Gaussian mixture models were used to model each of the four classes.

Thus, to model a pixel over the time, Gaussian mixture models are used.