Sentence examples for models for cluster from inspiring English sources

Existing models for cluster analysis typically consist of a number of attributes that describe the objects to be partitioned and one single latent variable that represents the clusters to be identified.

These levels of genome-wide variation have not been fully incorporated into evolutionary models for cluster formation and speciation.

Utilisation (inpatient admissions, bed day use, and cost) will be compared between the two groups for the three years before each patient receives the intervention, and the 12 months afterwards using appropriate statistical models for cluster randomised trials.

Video data will be analysed using Noldus XT Pocket Observer; descriptive statistics will be used for participants' demographics and outcome measures; cluster and individual level analyses to test all hypotheses and Generalised Linear Models for cluster level and Generalised Estimation Equations and/or Multi-level Modeling for individual level data.

Magidson, J., Vermunt, J. K. (2002b) Latent class models for clustering: A comparison with K-means.

Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points.

J.M. Neuhaus and N. P. Jewell, "The effect of retrospective sampling on binary regression models for clustered data," Biometrics, 46, 1990, 977-990.

Subsequently, the authors provide estimations of different probit models for clusters of NEETs identified according to the modalities of some significant determinants.

Bayesian models for clustering of genotype data use the framework of mixture models to model individuals.

Risk factors for SIEs were investigated by logistic regression models for clustered data (Table  3).

Previously, similar ideas which use probability models for clustering have been applied to classify protein subgroups.