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

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

t-SNE: Reduce Your Dimensions, Keep Your Clusters

Linear Digressions is a podcast about machine learning and data science.  Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.

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Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.

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t-SNE: Reduce Your Dimensions, Keep Your Clusters

t-SNE: Reduce Your Dimensions, Keep Your Clusters

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