Can I read Dimension Reduction for Massive Data Analysis on EtoBox?

Dimension Reduction for Massive Data Analysis by Salman Hameed is a document available to read on EtoBox.

What is Dimension Reduction for Massive Data Analysis about?

This document discusses dimension reduction techniques for efficiently computing distances in large datasets. It describes sampling and sketching as two strategies for dimension reduction. Random projections are presented as a sketching method that can preserve distances when projecting data from a high-dimensional space to a lower-dimensional space. Specifically, normal random projections can preserve l2 distances when the projection matrix contains i.i.d. normal entries, while Cauchy random projections ca

Author

Salman Hameed

Language

EN