A Comparative Study of K-means and NMF Clustering Algorithms-Reference-Cited by-同舟云学术

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A Comparative Study of K-means and NMF Clustering Algorithms

Published:2023-12-27 Issue: Volume:6 Page:1-4
ISSN:
Container-title:2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
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Author:

Basiri Fahimeh¹,Amer Ayman²,Ranjbar Naserabadi Mohammad Javad³,Moghimi Mohammad Mahdi⁴

Affiliation:

1. Tarbiat Modares University,Applied Mathematics Department,Tehran,Iran

2. Zarqa university,Faculty of Engineering,Zarqa,Jordan

3. Petroleum University of Technology,Technical Inspection Department,Abadan,Iran

4. Yazd Branch, Islamic Azad University,Department of Electrical Engineering,Yazd,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590510.pdf?arnumber=10590510

Reference21 articles.

1. A comparative study of clustering methods using word embeddings

2. DATA CLUSTERING

3. Text document clustering using k-means algorithm;Ramkumar;Int. Res. J. Eng. Technol,2019

4. Document clustering based on non-negative matrix factorization

5. Document clustering using k-means and k-medoids;Balabantaray;arXiv preprint,2015

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