Correntropy based nonnegative matrix factorization : algorithms and clustering applications

In this thesis, to improve existing correntropy based nonnegative matrix factorization (NMF) algorithms and develop new methods for enlarging the range and enhancing the performance in clustering tasks, three novel correntropy based NMF algorithms are proposed, which are respectively the correntrop...

Full description

Saved in:
Bibliographic Details
Main Author: Peng, Siyuan
Other Authors: Lin Zhiping
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/145283
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items