Search Results for author: George C. Linderman

Found 4 papers, 3 papers with code

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

8 code implementations25 Dec 2017 George C. Linderman, Manas Rachh, Jeremy G. Hoskins, Stefan Steinerberger, Yuval Kluger

t-distributed Stochastic Neighborhood Embedding (t-SNE) is a method for dimensionality reduction and visualization that has become widely popular in recent years.

Dimensionality Reduction

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science

3 code implementations13 Nov 2017 George C. Linderman, Gal Mishne, Yuval Kluger, Stefan Steinerberger

If we pick $n$ random points uniformly in $[0, 1]^d$ and connect each point to its $k-$nearest neighbors, then it is well known that there exists a giant connected component with high probability.

Clustering with t-SNE, provably

2 code implementations8 Jun 2017 George C. Linderman, Stefan Steinerberger

t-distributed Stochastic Neighborhood Embedding (t-SNE), a clustering and visualization method proposed by van der Maaten & Hinton in 2008, has rapidly become a standard tool in a number of natural sciences.

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