Generative topographic map
Semantic Scholar uses AI to extract papers important to this topic.
- Int. J. Hybrid Intell. Syst.
Collaborative clustering is a recent field of Machine Learning that shows similarities with both ensemble learning and transfer… (More)
Collaborative clustering is a recent field of Machine Learning that shows similarities with both transfer learning and ensemble… (More)
The generative topographic mapping (GTM) has been proposed as a statistical model to represent highdimensional data by a… (More)
The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of… (More)
The generative topographic map (GTM) provides a flexible statistical model for unsupervised data inspection and topographic… (More)
A kernel version of Generative Topographic Mapping, a model of the manifold learning family, is defined in this paper. Its… (More)
- J. Math. Model. Algorithms
General finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack data… (More)
- IEEE Trans. Neural Networks
Generative topographic mapping is a nonlinear latent variable model introduced by Bishop et al. as a probabilistic reformulation… (More)
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of… (More)
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map… (More)