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Data Clusterer

Source code for my Master's Thesis computations and visualizations.

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In the src folder.

  • fetch.ipynb contains the code necessary to fetch the data from the ElasticSearch database.
  • exploration.ipynb includes the exploratory data analysis execution.
  • preprocessing.ipynb contains the preprocessing of the data into the state before clustering.
  • application.ipynb includes the execution of the clustering and outlier detection algorithms on the preprocessed data.
  • evaluation.ipynb contains the assessment of the three clusterings with visual projections.
  • requirements.txt contains the Python libraries required for execution.

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My Diploma Thesis Application about clustering and outlier detection of user behavior recordings using metadata of sessions.

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