3 papers
cs.LG2021
Provable Data Clustering via Innovation Search
Weiwei Li, Mostafa Rahmani, Ping Li
This paper studies the subspace clustering problem in which data points collected from high-dimensional ambient space lie in a union of linear subspaces. Subspace clustering become…
q-bio.QM2019
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping
Weiwei Li, Jan Hannig, Corbin Jones
Structural variants compose the majority of human genetic variation, but are difficult to assess using current genomic sequencing technologies. Optical mapping technologies, which…
stat.ML2018
Subspace Clustering through Sub-Clusters
Weiwei Li, Jan Hannig, Sayan Mukherjee
The problem of dimension reduction is of increasing importance in modern data analysis. In this paper, we consider modeling the collection of points in a high dimensional space as…