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A clustering method based on extreme learning machine

  • Published:2018-02 Issue: Volume:277 Page:108-119
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Huang Jinhong,Yu Zhu LiangORCID,Gu Zhenghui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Pattern Recognition and Machine Learning;Bishop,2007

2. Do we need hundreds of classifiers to solve real world classification problems;Fernández-Delgado;J. Mach. Learn. Res.,2014

3. Support-vector networks;Cortes;Mach. Learn.,1995

4. Extreme learning machine: theory and applications;Huang;Neurocomputing,2006

5. Extreme learning machine for regression and multiclass classification;Huang;IEEE Trans. Syst. Man Cybern. B Cybern.,2012

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1. A comprehensive review of extreme learning machine on medical imaging;Neurocomputing;2023-11

2. Extreme Learning Machines Based on Convolutional Neural Network and Convolutional Autoencoder for Image Classification: Comparative Study;Communications in Computer and Information Science;2023

3. A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification;Computational Intelligence and Neuroscience;2022-03-24

4. An Improved Software Reliability Prediction Model by Using Feature Selection and Extreme Learning Machine;Meta Heuristic Techniques in Software Engineering and Its Applications;2022

5. Interactive Data Visualization: Open Data of Pandemic Disease;2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS);2021-10-25
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