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Unsupervised classification (pose/expression).
Landsat images were processed using an unsupervised classification.
Unsupervised classification was done using the ERDAS 9.0 software.
Clustering is considered as an unsupervised classification process [4].
They can be used for supervised and unsupervised classification.
We tested unsupervised classification on both databases using feature F1.
Many supervised and unsupervised classification methods have been proposed.
These methods include e.g. decomposition methods, binning based methods, unsupervised classification and temporal stability analysis.
The techniques for unsupervised classification include clustering techniques like the ones used in unsupervised classification (maximum likelihood, minimum distance, k-means, ISODATA etc).
Herein, we first performed the unsupervised classification step and, then, the segmentation.
To classify the Landsat images, supervised and unsupervised classification methods were conducted.
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