Generative topographic map

Known as: GTM, Generative topographic mapping 
Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is probably… (More)
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Topic mentions per year

Topic mentions per year

1986-2017
0204019862017

Papers overview

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2015
2015
Collaborative clustering is a recent field of Machine Learning that shows similarities with both ensemble learning and transfer… (More)
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2015
2015
Collaborative clustering is a recent field of Machine Learning that shows similarities with both transfer learning and ensemble… (More)
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2011
2011
The generative topographic mapping (GTM) has been proposed as a statistical model to represent highdimensional data by a… (More)
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2010
2010
The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of… (More)
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2010
2010
The generative topographic map (GTM) provides a flexible statistical model for unsupervised data inspection and topographic… (More)
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2010
2010
A kernel version of Generative Topographic Mapping, a model of the manifold learning family, is defined in this paper. Its… (More)
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2008
2008
General finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack data… (More)
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2003
2003
Generative topographic mapping is a nonlinear latent variable model introduced by Bishop et al. as a probabilistic reformulation… (More)
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Highly Cited
1998
Highly Cited
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of… (More)
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Highly Cited
1998
Highly Cited
1998
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map… (More)
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