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RHC, ERHC2, RHC2, ERHC2, CNN, IB2

RHC: Reduction through Homogeneous Clustering RHC2: Reduction through Homogeneous Clustering v2 ERHC: Editing and Reduction through Homogeneous Clustering ERHC2: Editing and Reduction through Homogeneous Clustering v2 CNN: Condensed Nearest Neighbour rule IB2: Instansed-based 2

Source codes in C++ for the implementation of the algorithms included in the experimental study of the paper titled "Reduction through homogeneous clustering: Variations for categorical data and fast data reduction"

How to compile

g++ cppfilename -o executablefilename

How to run

condensing set construction:

algorithm directory/training_file directory/condensing_file number_of_folds

Example:

./RHC pd/data-tr pd/data-rhc-cs 5

Classification:

knn directory/training_file directory/testing_file number_of_folds number_of_nearest_neighbours

Example of conventinal k-NN (with k=1):

./knn pd/data-tr pd/data-ts 5 1

Example of RHC based kNN classifier

./knn pd/data-rhc-cs pd/data-ts 5 1

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Reduction through Homogeneous Clustering

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