Linear discriminant analysis guided by unsupervised ensemble learning-Reference-Cited by-同舟云学术

Linear discriminant analysis guided by unsupervised ensemble learning

Published:2019-04 Issue: Volume:480 Page:211-221
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Deng Ping^ORCID,Wang Hongjun,Li Tianrui^ORCID,Horng Shi-Jinn,Zhu Xinwen

Funder

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. Weighted clustering ensembles;Al-Razgan,2006

2. Linear discriminant analysis-a brief tutorial;Balakrishnama,1998

3. A new self-training-based unsupervised satellite image classification technique using cluster ensemble strategy;Banerjee;IEEE Geosci. Remote Sens. Lett.,2015

4. Laplacian eigenmaps and spectral techniques for embedding and clustering;Belkin,2002

5. Fcm: the fuzzy c-means clustering algorithm;Bezdek;Comput. Geosci.,1984

Cited by 28 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. Robust deep fuzzy K-means clustering for image data;Pattern Recognition;2024-09

2. Enhancing nonlinear dynamics analysis of railway vehicles with artificial intelligence: a state-of-the-art review;Nonlinear Dynamics;2024-06-22

3. DNSRF: Deep Network-based Semi-NMF Representation Framework;ACM Transactions on Intelligent Systems and Technology;2024-06-03

4. Pneumonia screening on chest X-rays with optimized ensemble model;Expert Systems with Applications;2024-05

5. A novel motor bearing fault diagnosis method based on a deep sparse binary autoencoder and principal component analysis;Insight - Non-Destructive Testing and Condition Monitoring;2023-04-01