Extending the Student’s Performance via K-Means and Blended Learning

Author:

Parveen Zahida, ,Alphones Anushya,Naz Samina,

Publisher

Empirical Research Press, Ltd.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dynamic Programming with Cluster First - Route Second Approach for Solving Vehicle with Pickup and Delivery Problem in Retail Industry;2023 RIVF International Conference on Computing and Communication Technologies (RIVF);2023-12-23

2. Applicability of K-medoids and K-means algorithms for segmenting students based on their scholastic performance;Journal of Statistics and Management Systems;2022-10-03

3. Hybrid data analytic technique for grading fairness;Data Technologies and Applications;2022-04-20

4. Clustering Student Learners based on performance using K-Means Algorithm;2022 International Mobile and Embedded Technology Conference (MECON);2022-03-10

5. On Characterization of Norm-Referenced Achievement Grading Schemes toward Explainability and Selectability;Applied Computational Intelligence and Soft Computing;2021-02-18

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