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import os
from IPython.core.display import Image, display

Deliverables

Tony

  • Clustering -- learn about clustering. Make a LaTeX (or Markdown) file explaining what K-means, K-medeods, Spectral, Louvain do. Explain basics of implementation, and include a pro/con table discussing what each does well/poorly with examples for each. Include basic algorithms.
  • Write pseudocode for clustering graphs [see Ryan's Git Issue on LaTeX]

Reach Goal:

  • Jupyter notebook with clustering on our data here.
    • As per Jovo's recommendation, I first ran example data to make sure I understood the basic premises of what I was doing (used sample data set Images from SciKit, for handwriting)
    • Then attempted to do clustering on Fear199 to implement K-means
    • 3D representation makes it hard to show the clusters (orange) even when I biggify the points. Since there are an overwhelming number of regular points, I plotted along just XY to confirm my results.

Jon

Albert

Reach Goal:

Luke


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