Instance Selection and Prototype Based Rules Example 4

Created: 2011-11-05 22:10:22      Last updated: 2011-11-07 08:53:53

Example of Instance optimization (Requires Instance Selection and Prototype Based Rules): Here we use FCM (Fuzzy C-means) clustering to initialize kNN classifier. The "Class assigner" is responsible for assigning class label for each cluster center. The class assigner operator use Voronoi diagram and the majority voting for determining class label.

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