Clustering algorithms: A comparative approach
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DOI: 10.1371/journal.pone.0210236
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Citations
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- Fernandez Martinez, Roberto & Lostado Lorza, Ruben & Santos Delgado, Ana Alexandra & Piedra, Nelson, 2021. "Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL," Journal of Informetrics, Elsevier, vol. 15(1).
- Corrêa, Edilson A. & Marinho, Vanessa Q. & Amancio, Diego R., 2020. "Semantic flow in language networks discriminates texts by genre and publication date," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
- Simon Crase & Suresh N Thennadil, 2022. "An analysis framework for clustering algorithm selection with applications to spectroscopy," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-24, March.
- Alfred Kume & Stephen G Walker, 2021. "The utility of clusters and a Hungarian clustering algorithm," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-23, August.
- K. S. Sablin & E. S. Kagan & E. S. Chernova, 2020. "Clustering of the Russian coal mining regions: Investment and innovation activity," Journal of New Economy, Ural State University of Economics, vol. 21(1), pages 89-106, March.
- Chong, Woon Kian & Chang, Chiachi, 2024. "Information exploitation of human resource data with persistent homology," Journal of Business Research, Elsevier, vol. 172(C).
- Hossam M J Mustafa & Masri Ayob & Mohd Zakree Ahmad Nazri & Graham Kendall, 2019. "An improved adaptive memetic differential evolution optimization algorithms for data clustering problems," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-28, May.
- Ebba Mark & Ryan Rafaty & Moritz Schwarz, 2022. "Spatial-temporal dynamics of employment shocks in declining coal mining regions and potentialities of the 'just transition'," Papers 2211.12619, arXiv.org.
- Narjes Vara & Mahdieh Mirzabeigi & Hajar Sotudeh & Seyed Mostafa Fakhrahmad, 2022. "Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3237-3252, June.
- Mikhail Kanevski, 2021. "Unsupervised learning of Swiss population spatial distribution," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-24, February.
- Hossam M J Mustafa & Masri Ayob & Dheeb Albashish & Sawsan Abu-Taleb, 2020. "Solving text clustering problem using a memetic differential evolution algorithm," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-18, June.
- Trotta, Gianluca, 2020. "An empirical analysis of domestic electricity load profiles: Who consumes how much and when?," Applied Energy, Elsevier, vol. 275(C).
- Quispe, Laura V.C. & Tohalino, Jorge A.V. & Amancio, Diego R., 2021. "Using virtual edges to improve the discriminability of co-occurrence text networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
- Sultan Mahmud & Ferdausi Mahojabin Sumana & Md Mohsin & Md. Hasinur Rahaman Khan, 2022. "Redefining homogeneous climate regions in Bangladesh using multivariate clustering approaches," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1863-1884, March.
- Tohalino, Jorge A.V. & Amancio, Diego R., 2022. "On predicting research grants productivity via machine learning," Journal of Informetrics, Elsevier, vol. 16(2).
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