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_projects/16LargeDataDisplayer.md

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This project was done as part of the [ISG](https://isg.ics.uci.edu/) research group at UCI. It used C++ to determine how to apply k-means clustering to large, geographic, social media data so it could be more optimally visualized. The first step was applying k-means clustering to point data and the second step was applying k-means clustering to edge data. After the distance formulas were optimized, we added threading to further increase the speed of the computations.

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