t-SNE: Reduce Your Dimensions, Keep Your Clusters
from Linear Digressions Hosted by Katie Malone
Ever tried to visualize a cluster of data points in 40 dimensions? Or even 4, for that matter? We prefer to stick to 2, or maybe 3 if we're feeling well-caffeinated. The t-SNE algorithm is one of the best tools on the market for doing dimensionality reduction when you have clustering in mind. Relevant links: https://www.youtube.com/watch?v=RJVL80Gg3lA
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This episode is 16 minutes long.
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This episode was published on January 15, 2016.
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