1. Combining synchronous averaging with a Gaussian mixture model novelty detection scheme for vibration-based condition monitoring of a gearbox

Heyns, T, Heyns, PS, De Villiers, JP,

This paper investigates how Gaussian mixture models (GMMs) may be used to detect and trend fault induced vibration signal irregularities, such as those which might be indicative of the onset of gear d...

http://www.sciencedirect.com/science/article/pii/S0888327012002221

3. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses

Huang, Y., Englehart, K. B., Hudgins, B. S., Chan, A. D. C.,

This paper introduces and evaluates the use of Gaussian mixture models (GMMs) for multiple limb motion classification using continuous myoelectric signals. The focus of this work is to optimize the co...

http://hdl.handle.net/1882/24342

5. Multimodality in galaxy clusters from SDSS DR8: substructure and velocity distribution

M. Einasto, J. Vennik, P. Nurmi, E. Tempel, A. Ahvensalmi, E. Tago, L. J. Liivamägi, E. Saar, P. Hei...

Context. The study of the signatures of multimodality in groups and clusters of galaxies, an environment for most of the galaxies in the Universe, gives us information about the dynamical state of clu...

http://publications.edpsciences.org/10.1051/0004-6361/201118697/pdf

7. Tropospheric planetary wave dynamics and mixture modeling: Two preferred regimes and a regime shift

Hannachi, Abdelwaheb,

Investigation of preferred structures of planetary wave dynamics is addressed using multivariate Gaussian mixture models. The number of components in the mixture is obtained using order statistics of ...

9. Bayesian analysis of an inverse Gaussian correlated frailty model

Kheiri, S., Kimber, A., Meshkani, M. R.,

In survival analysis frailty is often used to model heterogeneity between individuals or correlation within clusters. Typically frailty is taken to be a continuous random effect, yielding a continuous...