Gaussian/Normal Distribution/Model/Process
Gaussian Model
- is a probabilistic model for representing normally distributed subpopulations within an overall population
- can be used as a probability distribution over possible functions that fit a set of points
GPR - Types of Models
- Univariate Normal/Gaussian/Gauss/Laplace-Gauss Distribution/Model/Process (Bell Curve) - single-variable uni-modal Gaussian model
- Multivariate Gaussian/Normal Distribution/Model/Process (MVN) - multi-variable uni-modal Gaussian model
- Gaussian/Normal Mixture Distribution/Model/Process (GMM/NMM) - Bimodal/Trimodal/Multimodal - multi-modal Gaussian model
- Multivariate Gaussian/Normal Mixture Distribution/Model/Process - multi-variable multi-model Gaussian model
GPR - Use Cases
Regression |
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Classification |
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Clustering |
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, multiple selections available,