Parallel implementation of Binary Classification

Given a set of N points in K-dimensional space. Each point X is marked as belonging to set A or B. Implement a Simplified Binary Classification algorithm to find a Linear Classifier. The result depends on the maximum iteration allowed and a value of the chosen parameter . The purpose of the project is to define a minimal value of  that leads to the Classifier with acceptable value of Quality of Classifier.

Aptitudini: Algoritm, Programare C, Programare C++, CUDA, Parallel Processing

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