Unsupervised Geometric Learning of Hyperspectral Images

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Summary

An unsupervised learning technique that combines a density-based estimation of class modes with partial least squares regression (PLSR) on the learned modes to achieve performance comparable to fully supervised PLSR is proposed.

Type
preprint
Published
2017-04-26
Cited by
2
References
51
Access
Open access

Keywords

Hyperspectral imaging, Artificial intelligence, Pattern recognition (psychology), Dimensionality reduction, Cluster analysis

References

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