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this project solves Parallel implementation of Binary Classification using OpenMp and MPI and Cuda

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Parallel-Binary-Classification

this project solves A changing Binary Classification problem in parrlel using OpenMp, MPI and Cuda.

• N - number of points

• K – number of coordinates of points

• Coordinates of all points with attached value: 1 for those that belong to set A and -1 for the points that belong to set B.

• dT – increment value of t, tMAX – maximum value of t

• alpha - conversion ratio

• LIMIT – the maximum number of iterations.

• QC – Quality of Classifier to be reached

The first line of the file contains N K dT tMAX alpha LIMIT QC.
Next lines are initial coordinates of all points, one per line, its velocity and attached value 1 or -1.

The output file contains following information

• The minimal value of t with q < QC and a value of q. If for every checked value of t the value of q is bigger than QC – “time was not found” is printed.

• Values of corresponding weights W

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this project solves Parallel implementation of Binary Classification using OpenMp and MPI and Cuda

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