Semi-supervised Nonnegative Matrix Factorization for Document Classification-Reference-Cited by-同舟云学术

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Semi-supervised Nonnegative Matrix Factorization for Document Classification

Published:2021-10-31 Issue: Volume: Page:
ISSN:
Container-title:2021 55th Asilomar Conference on Signals, Systems, and Computers
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Author:

Haddock Jamie¹,Kassab Lara²,Li Sixian³,Kryshchenko Alona⁴,Grotheer Rachel⁵,Sizikova Elena⁶,Wang Chuntian⁷,Merkh Thomas⁸,Madushani R. W. M. A.⁹,Ahn Miju¹⁰,Needell Deanna⁸,Leonard Kathryn¹¹

Affiliation:

1. Harvey Mudd College,Dept. of Mathematics

2. Colorado State Univ,Dept. of Mathematics

3. Univ. of Illinois Urbana-Champaign,Dept. of Mathematics

4. Cal. State Univ. Channel Islands,Dept. of Mathematics

5. Wofford College,Dept. of Mathematics

6. Center for Data Science New York Univ

7. Univ. of Alabama,Dept. of Mathematics

8. Univ. of Cal,Dept. of Mathematics,Los Angeles

9. Diseases Boston Medical Cent,Dept. of Infectious

10. outhern Methodist Univ.,Dept. of EMIS

11. Occidental College,Dept. of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9723034/9723086/09723109.pdf?arnumber=9723109

Reference37 articles.

1. Constrained k-means clustering with background knowledge;wagstaff;Proc Int Conf Mach Learn,2001

2. Bayesian extensions to non-negative matrix factorisation for audio signal modelling

3. Generalized nonnegative matrix approximations with Bregman divergences;sra;Proc Adv Neur In,2006

4. A Survey on semi-supervised feature selection methods

5. Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clustering Network Traffic Using Semi-Supervised Learning;Electronics;2024-07-14

2. Continuous Semi-Supervised Nonnegative Matrix Factorization;Algorithms;2023-03-30

3. Binary Orthogonal Non-negative Matrix Factorization;Communications in Computer and Information Science;2023

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