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KNN CPP

This is a simple implementation of the K-Nearest Neighbors (KNN) algorithm in C++. The code is designed to classify data points based on their nearest neighbors in a given dataset.

Usage

  • Compile the code using a C++ compiler.
  • Generate a dataset using the generate_datapoints_csv.py script. This writes to a build directory.
  • Run the compiled program to classify the data point. Currently the input data point is hardcoded in the main function.