J
Jake Vanderplas
Researcher at University of Washington
Publications - 56
Citations - 103645
Jake Vanderplas is an academic researcher from University of Washington. The author has contributed to research in topics: Python (programming language) & Weak gravitational lensing. The author has an hindex of 30, co-authored 56 publications receiving 77174 citations.
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Classification of stellar spectra with local linear embedding
TL;DR: In this paper, the authors investigated the use of dimensionality reduction techniques for the classification of stellar spectra selected from the Sloan Digital Sky Survey (SDS) using local linear embedding (LLE), a technique that preserves the local structure within high-dimensional data sets.
mwaskom/seaborn: v0.10.0 (January 2020)
Michael Waskom,Olga Botvinnik,Joel Ostblom,Saulius Lukauskas,Paul Hobson,MaozGelbart,David C Gemperline,Tom Augspurger,Yaroslav O. Halchenko,John B. Cole,Jordi Warmenhoven,Julian de Ruiter,Cameron Pye,Stephan Hoyer,Jake Vanderplas,Santi Villalba,Gero Kunter,Eric Quintero,Pete Bachant,Marcel Martin,Kyle Meyer,Corban Swain,Alistair Miles,Thomas Brunner,Drew O'Kane,Tal Yarkoni,Mike Lee Williams,Constantine Evans +27 more
Journal ArticleDOI
3D Reconstruction of the Density Field: An SVD Approach to Weak Lensing Tomography
TL;DR: In this article, the singular value framework was used to construct a 3D mass map from the lensing shear data without a priori assumptions about the statistical nature of the signal.
Journal ArticleDOI
Classification of Stellar Spectra with LLE
TL;DR: In this paper, the authors proposed a hierarchical classification scheme using LLE that progressively identifies and classifies stellar spectra in a manner that requires no feature extraction and that can reproduce the classic MK classifications to an accuracy of one type.