18 lines
1.0 KiB
Markdown
Executable File
18 lines
1.0 KiB
Markdown
Executable File
# data-learning
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Approach for implementing a library concerning data mining (PCA, MDS, etc.), machine learning (Perceptron, SVM, etc.) and clustering (k-means, etc.). Can be used in future projects, for instance in the field of genomic selection.
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In lib-folder, all necessary code files can be found. Using $ ~ make , you can compile the test file from the src-folder.
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Important is to include mmatrix.hpp, the "mathematical matrix" class and clustering, mining or learning.
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All functions are defined within the scope data_learning::< category >::< class >, e.g. data_learning::clustering::kmeans
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This personal project is being developed in freetime, so at some points there will be many changes, but at some other points in the future, there wont be changes within a few days.
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As of 2021 I start continuing on this project; a plan besides finishing cpu implementation is to get it run on AMD GPUs with OpenCL.
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If there are questions, please feel free to contact me:
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lhahn@data-learning.de
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Best regards,
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Lars Hahn
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