Generative topographic mapping and factor analyzers - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Generative topographic mapping and factor analyzers

Rodolphe Priam
  • Function : Author
  • PersonId : 1038360
Mohamed Nadif
  • Function : Author
  • PersonId : 990896


By embedding random factors in the Gaussian mixture model (GMM), we propose a new model called faGTM. Our approach is based on a flexible hierarchical prior for a generalization of the generative topographic mapping (GTM) and the mixture of principal components analyzers (MPPCA). The parameters are estimated with expectation-maximization and maximum a posteriori. Empirical experiments show the interest of our proposal.
Not file

Dates and versions

hal-01916220 , version 1 (08-11-2018)


  • HAL Id : hal-01916220 , version 1


Rodolphe Priam, Mohamed Nadif. Generative topographic mapping and factor analyzers. Proceeding of the 1st International Conference on Pattern Recognition Applications and Methods, Feb 2012, Vilamoura, Portugal. pp.284-287. ⟨hal-01916220⟩
32 View
0 Download


Gmail Facebook Twitter LinkedIn More