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Nonlinear Dimensionality Reduction for Data Visualization: An
  Unsupervised Fuzzy Rule-based Approach

Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach

IEEE transactions on fuzzy systems (IEEE Trans. Fuzzy Syst.), 2020
8 April 2020
Suchismita Das
Nikhil Pal
ArXiv (abs)PDFHTML

Papers citing "Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach"

3 / 3 papers shown
The Underlying Scaling Laws and Universal Statistical Structure of
  Complex Datasets
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets
Noam Levi
Yaron Oz
454
11
0
26 Jun 2023
Revisiting Bayesian Autoencoders with MCMC
Revisiting Bayesian Autoencoders with MCMCIEEE Access (IEEE Access), 2021
Rohitash Chandra
Mahir Jain
Manavendra Maharana
P. Krivitsky
UQCVBDL
357
20
0
13 Apr 2021
Deep Image Feature Learning with Fuzzy Rules
Deep Image Feature Learning with Fuzzy RulesIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2019
Xiang Ma
Liangzhe Chen
Zhaohong Deng
Peng Xu
Qisheng Yan
K. Choi
Shitong Wang
208
15
0
25 May 2019
1
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