Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis

Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis

In this paper, we propose a novel method of cluster analysis called unsupervised functional link artificial neural networks (UFLANNs), which inherit the best characteristics of functional link artificial neural networks and self-organizing feature maps (SOFMs). UFLANNs adopt three types of basis fun...

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Bibliographic Details
Main Authors: Bhabani Shankar Prasad Mishra, Om Pandey, Satchidananda Dehuri, Sung-Bae Cho
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cluster analysis
competitive learning
FLANN
SOFM
Online Access:https://ieeexplore.ieee.org/document/9195834/

Internet

https://ieeexplore.ieee.org/document/9195834/

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