Evaluating Operation Performance in Higher Education: The Case of Vietnam Public Universities
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Maurice Roux, 2018. "A Comparative Study of Divisive and Agglomerative Hierarchical Clustering Algorithms," Journal of Classification, Springer;The Classification Society, vol. 35(2), pages 345-366, July.
- William Day & Herbert Edelsbrunner, 1984. "Efficient algorithms for agglomerative hierarchical clustering methods," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 7-24, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
- Chen, James Ming & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Clustering commodity markets in space and time: Clarifying returns, volatility, and trading regimes through unsupervised machine learning," Resources Policy, Elsevier, vol. 73(C).
- William Day & Herbert Edelsbrunner, 1985. "Investigation of proportional link linkage clustering methods," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 239-254, December.
- Monika Khandelwal & Sabha Sheikh & Ranjeet Kumar Rout & Saiyed Umer & Saurav Mallik & Zhongming Zhao, 2022. "Unsupervised Learning for Feature Representation Using Spatial Distribution of Amino Acids in Aldehyde Dehydrogenase (ALDH2) Protein Sequences," Mathematics, MDPI, vol. 10(13), pages 1-20, June.
- A K M Bayazid, 2025. "Artificial Intelligence (AI) for Airports: Baggage Detection and Size Estimation for Enhancing Operational Efficiency at Small and Medium-Sized Airports," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(02), pages 31-52.
- Alberto Fernández & Sergio Gómez, 2020. "Versatile Linkage: a Family of Space-Conserving Strategies for Agglomerative Hierarchical Clustering," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 584-597, October.
- C. Finden & A. Gordon, 1985. "Obtaining common pruned trees," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 255-276, December.
- Denitsa ZHECHEVA & Nayden NENKOV, 2022. "Business demands for processing unstructured textual data – text mining techniques for companies to implement," Access Journal, Access Press Publishing House, vol. 3(2), pages 107-120, April.
- Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.
- Yuching Lu & Koki Tozuka & Goutam Chakraborty & Masafumi Matsuhara, 2021. "A Novel Item Cluster-Based Collaborative Filtering Recommendation System," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 327-346, November.
- Rajesh Ranjan & Jitender Kumar Chhabra, 2025. "An Effective Crow Search Algorithm and Its Application in Data Clustering," Journal of Classification, Springer;The Classification Society, vol. 42(1), pages 134-162, March.
- Sandra Mayr & Fabian Hauser & Sujitha Puthukodan & Markus Axmann & Janett Göhring & Jaroslaw Jacak, 2020. "Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-34, June.
- Cheng-Chun Lee & Mikel Maron & Ali Mostafavi, 2022. "Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
- Li, Daolun & Zhou, Xia & Xu, Yanmei & Wan, Yujin & Zha, Wenshu, 2023. "Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate," Energy, Elsevier, vol. 285(C).
- Bajoulvand, Atena & Zargari Marandi, Ramtin & Daliri, Mohammad Reza & Sabzpoushan, Seyed Hojjat, 2017. "Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals," Applied Mathematics and Computation, Elsevier, vol. 307(C), pages 62-70.
- Ji, Yuxuan & Geroliminis, Nikolas, 2012. "On the spatial partitioning of urban transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1639-1656.
- Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
- Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022.
"Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 247, pages 1-15.
- Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022. "Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms," Energy, Elsevier, vol. 247(C).
- Rashid Behzadidoost & Habib Izadkhah, 2025. "Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms," Journal of Classification, Springer;The Classification Society, vol. 42(2), pages 457-489, July.
- Cho, Catherine & Kim, Sooyoung & Lee, Jaewook & Lee, Dae-Won, 2006. "A tandem clustering process for multimodal datasets," European Journal of Operational Research, Elsevier, vol. 168(3), pages 998-1008, February.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:4082-:d:531194. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p4082-d531194.html