Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data
Abstract Due to their conceptual simplicity and flexibility, non-parametric mixture models are widely used to identify latent clusters in data. However, when it comes to Big Data, such as Landsat imagery, such model fitting is computationally prohibitive. To overcome this issue, we fit Bayesian non-...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-03-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-019-0188-1 |