Diego A Pérez Morales

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Weekly Log

Week 1

  • Attended orientation
  • Attended data science workshop
  • Attended good research practices talk
  • Started looking for research papers having to do with clustering
  • Started learning about what is clustering and what type of methods exist
  • Started looking up information about K-Mean Clustering
  • Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about
  • Set personal goals and milestones for the summer

Week 2

  • Attended the professional development meetings for the week
  • Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.
  • Established recurring weekly meetings with Prof.Zimmer.
  • Shared research data and other material through shared folder.
  • Used the shared txt data to start preprocessing the data in python.
  • Managed to create three functions in python to preprocess some sample text from the shared data.
  • Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.

Week 3

  • Finished the RCR requirements.
  • Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.
  • Commented and organized most of the code I've made up until now to make it look presentable.
  • Met with past students who have worked on my research before and interchanged ideas.
  • Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.
  • Added a feature to lemmatize the text of the file being fed to the algorithm.
  • Made some minor changes to the preprocessing of the text as a whole.
  • Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.
  • Started looking for supervised algorithms we can use to compare to the supervised one we have.
  • Started preparing a research presentation of what I've done so far.

Week 4

Week 5

Week 6

Week 7

Week 8

Week 9

Week 10