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]
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
Turn API into pipeline form: Running should output wanted graphs
Using the atlas aligned images, play around with atlas coordinates
PROBLEMS: We still have problems, largely we need the new data to be propagated in order for us to play around with it. We have Kwame's images however one of the images seem to be "damaged"