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This program implements a histogram using MPI and OpenMP to analyze a dataset containing group ages that watch a TV show. The goal is to calculate statistics about the groups of age and generate a frequency histogram.
This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.