This repository contains a distributed implementation of the K-Means clustering algorithm using mpi4py. The implementation leverages the Message Passing Interface (MPI) to distribute the computational workload across multiple processors, enabling efficient clustering of large datasets.
Before running the code, ensure you have the following installed:
- Python: Version 3.x
- mpi4py: Python bindings for MPI
You can install mpi4py using pip:
python -m pip install mpi4pympirun -np <number_of_processes> python parallelkmeans.py