Improvement of the Gaussian mixture models' unsupervised learning method through the inclusion of dynamical systems for various types of nonlinear data
Gaussian mixture models (GMM) with a modulating dynamical system (DS) approach is an unsupervised learning method, and it can estimate the distribution of given data or encoding trajectories in the input space. In this paper, a series of trajectories is considered for simulation, and the role of tun...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-07-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024096361 |