2 papers
math.ST2020
How to reduce dimension with PCA and random projections?
Fan Yang, Sifan Liu, Edgar Dobriban +1
In our "big data" age, the size and complexity of data is steadily increasing. Methods for dimension reduction are ever more popular and useful. Two distinct types of dimension red…
cs.CG2020
A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions
Hu Ding, Tan Chen, Fan Yang +1
In this paper, we consider the following query problem: given two weighted point sets and in the Euclidean space , we want to quickly determine that whether t…