Author:
Gjorgjievska Marija,Bozhinovski Gjorgji,Sukarova-Angelovska Elena,Kocova Mirjana,Kanzoska Lejla Muaremoska,Plaseska-Karanfilska Dijana
Reference10 articles.
1. [1] Arbin, N., Suhaimi, N. S., Mokhtar, N. Z. and Othman, Z.: Comparative Analysis between K Means and K-Medoids for Statistical Clustering, 2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS), pp. 117-121.
2. [2] Arthur, D. and Vassilvitskii, S. (2017). k-means++: The Advantages of Careful Seeding, In Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms.
3. [3] Aryuni, M., Madyatmadja, E. D. and Miranda, E.: Customer Segmentation in XYZ Bank Using K Means and K-Medoids Clustering, 2018 International Conference on Information Management and Technology (ICIMTech).
4. Wild adaptive trimming for robust estimation and cluster analysis;Cerioli;Scandinavian Jorunal of Statistics,2018
5. [5] Chitrakar, R. and Chuanhe, H.: Anomaly Detection using Support Vector Machine Classification with k-Medoids Clustering, 2012 Third Asian Himalayas International Conference on Internet.
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