Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16-Reference-Cited by-同舟云学术

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Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16

Published:2024-07-22 Issue: Volume:12 Page:660-664
ISSN:
Container-title:2024 IEEE Space, Aerospace and Defence Conference (SPACE)
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Author:

Sen Snigdha¹,Chakraborty Pavan²,Das Sumit³,Pandey Keshav³,Narayana Plvb³

Affiliation:

1. Manipal Academy of Higher Education,Manipal Institute of Technology Bengaluru,Dept. of Information Technology,Manipal,India

2. Indian Institute of Information Technology Allahabad,Dept. of Information Technology,Prayagraj,India

3. IIIT-Allahabad,Dept. of Information Technology,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10666970/10667654/10667753.pdf?arnumber=10667753

Reference18 articles.

1. Astronomical big data processing using machine learning: A comprehensive review

2. Analyzing and Processing of Astronomical Images using Deep Learning Techniques

3. Dealing with imbalanced regression problem for large dataset using scalable Artificial Neural Network

4. Comparative Analysis of Clustering Techniques for SDSS Galaxy Images;Kasivajula

5. A Comprehensive Study on Galaxy Clustering Using Various Algorithms;Shah;IEEE Transactions on Astrophysics,2021

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