LOW RANK AND SPARSE MODELING FOR DATA ANALYSIS

LOW RANK AND SPARSE MODELING FOR DATA ANALYSIS

Nowadays, many real-world problems must deal with collections of high-dimensional data. High dimensional data usually have intrinsic low-dimensional representations, which are suited for subsequent analysis or processing. Therefore, finding low-dimensional representations is an essential step in man...

Full description

Bibliographic Details
Main Author: Kang, Zhao
Format: Others
Published: OpenSIUC 2017
Subjects:
clustering
data analytics
data mining
low rank
machine learning
sparse
Online Access:https://opensiuc.lib.siu.edu/dissertations/1366
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2370&context=dissertations

Internet

https://opensiuc.lib.siu.edu/dissertations/1366
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2370&context=dissertations

Similar Items