GitHub - anuraganands/CLONAX: Classification with Clonal Selection Algorithm (CLONAX)

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Classification with Clonal Selection Algorithm (CLONAX)

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
CLONAX_test.m		CLONAX_test.m
CLONAX_train.m		CLONAX_train.m
ReadMe.txt		ReadMe.txt
affinity.m		affinity.m
clonal_struct.m		clonal_struct.m
clone.m		clone.m
generate_random_numbers.m		generate_random_numbers.m
get_data.m		get_data.m
get_frequencies.m		get_frequencies.m
hypermutate.m		hypermutate.m
maximum_possible_distance.m		maximum_possible_distance.m
norm_scale01.m		norm_scale01.m
norm_variance.m		norm_variance.m
preprocess_data.m		preprocess_data.m
update_class_data.m		update_class_data.m

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CLONAX

Copyright (c) 2011, Anuraganand Sharma - All rights reserved.

This Matlab code is the implementation of CLONAX proposed by Anuraganand Sharma in the paper:
A. Sharma and D. Sharma, Clonal Selection Algorithm for Classification, in Artificial Immune Systems, vol. 6825, P. Liò, G. Nicosia, and T. Stibor, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 361–370

How to run:
1 - Run CLONAX_train.m to train CLONAX. It will generate memory file '*data_memory.out'.
2 - Run CLONAX_test.m to test CLONAX. You will be required to input two files. (1) 'test_*.data' for test data file and (2) memory file '*data_memory.out'. Both files can be found in 'data' folder.