Thomas Lumley • 11/26/2018

Finding principal components without even looking?

Read Original

The article discusses a research paper on performing singular value decomposition (SVD) faster than O(mn) time by subsampling rows and columns. It examines the algorithm's assumptions, its application to estimating population structure from genotype data and computing eigenvalues for SKAT association tests, and compares it to existing methods in computational genetics.

0 comments
#Algorithm Complexity #Singular Value Decomposition #Principal Components
Finding principal components without even looking?

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes