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SSI2016-jet-clustering

- Improving jet clustering using different unsupervised learning algorithms -

Authors: Johan Bonilla(@AFJohan92), Jay Chan (@qwerasd903), Nicole Hartman (@nhartman94), Michela Paganini (@mickypaganini), Juska Pekkanen (@juska), Heather Russell (@heatherrussell), David Sosa (@davidsosa), Savannah Thais (@savvy379), Markus Zinser (@mzinser-xse)

The different clustering algorithms are currently stored in files named <algorithm>.py. These rely on data that is generated either through scikit-learn's make_blobs or our generator in the JetGenerator folder. The read_data module can be used to interface with the .txt files in the JetGenerator folder.

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Improving jet clustering using different unsupervised learning algorithms

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