Performance Evaluation of Self-Organising Map Model in Organising the Unstructured Data-Reference-Cited by-同舟云学术

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Performance Evaluation of Self-Organising Map Model in Organising the Unstructured Data

Published:2022-11-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Computing (ICOCO)
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Author:

You Cheng Chun¹,Lim Seng Poh¹,Lee Chen Kang¹,Tan Joi San¹,Lim Seng Chee²

Affiliation:

1. Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat,Kampar,Perak,Malaysia,31900

2. Tunku Abdul Rahman University College, 77, Lorong Lembah Permai Tiga,Department of Computing and Information Technology,Tanjong Bungah,Pulau Pinang,Malaysia,11200

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10031269/10031273/10032038.pdf?arnumber=10032038

Reference35 articles.

1. Surface modeling by using self organising maps of Kohonen;boudjemaï;Proc 2003 IEEE Int Conf Syst Man Cybern,2003

2. Spherical self-organizing map using efficient indexed geodesic data structure

3. Impacts of surface model generation approaches on raytracing-based solar potential estimation in urban areas

4. Surface reconstruction techniques: a review

5. GPUMLib: deep learning SOM library for surface reconstruction;lee;International Journal of Advances in Soft Computing and Its Applications,2017

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