Implemented using scikit-learn. Predicts the label of a new point based on the labels of its nearest neighbors. Includes a scatter plot visualization showing training points and the new point.
Abstract: The Gaussian ML classifier is one of the most widely used classifiers for remotely sensed data since it is easy to implement and relatively fast. However, as the dimension of hyperspectral ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results