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» GTM: The Generative Topographic Mapping
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NN
2006
Springer
13 years 10 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido
IJON
2011
133views more  IJON 2011»
13 years 5 months ago
Relational generative topographic mapping
Abstract. The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent spac...
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
NPL
2000
95views more  NPL 2000»
13 years 10 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
PROCEDIA
2010
115views more  PROCEDIA 2010»
13 years 9 months ago
Generative topographic mapping by deterministic annealing
Generative Topographic Mapping (GTM) is an important technique for dimension reduction which has been successfully applied to many fields. However the usual Expectation-Maximizat...
Jong Youl Choi, Judy Qiu, Marlon E. Pierce, Geoffr...
IJON
1998
102views more  IJON 1998»
13 years 10 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...