1. EachPod

t-SNE: Reduce Your Dimensions, Keep Your Clusters

Author
[email protected] (Ben Jaffe and Katie Malone)
Published
Fri 15 Jan 2016
Episode Link
https://soundcloud.com/linear-digressions/t-sne-reduce-your-dimensions-keep-your-clusters

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

Share to: