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View Code? Open in Web Editor NEWStudy of the role of classification complexity on the performance of classification algorithms using Gabriel graphs
Study of the role of classification complexity on the performance of classification algorithms using Gabriel graphs
* Classification Topology Project * Implements a methodology based on local neighborhood graphs (Gabriel graphs) to characterize and to visualize the topology of the classification dataset (distributions, overlap) and of the decision surface. Code is developed as a set of S4 classes to compute the local neighborhood graph, plotting to visualize the graph, graph ediding for producing condenced graphs that highlight the decision surface topology, and summary methods for the graphs to report a summary of the graph topology. Additional methods for resampling the local neighborhood graphs will be added.
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