Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data

14 Dec 2017Mark KibanovMartin BeckerJuergen MuellerMartin AtzmuellerAndreas HothoGerd Stumme

The k-Nearest Neighbor (kNN) classification approach is conceptually simple - yet widely applied since it often performs well in practical applications. However, using a global constant k does not always provide an optimal solution, e.g., for datasets with an irregular density distribution of data points... (read more)

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