GSoC/GCI Archive
Google Summer of Code 2013 Shogun Machine Learning Toolbox

Implement Metric Learning Algorithms with Applications to Metagenomics

by Fernando José Iglesias García for Shogun Machine Learning Toolbox

Metric learning algorithms constitute an interesting approach in which a transformation of the data is sought in order to maximize classification accuracy. This property together with the use of the rather successful kNN algorithm make these algorithms suitable for real-world problems in fields such as bioinformatics. We aim at implementing the large margin nearest neighbor classifier and expose it in a easy-to-use manner, contributing to the metagenomics research community.