Author:
Pandey Kamlesh Kumar,Shukla Diwakar
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Reference85 articles.
1. Aamer Y, Benkaouz Y, Ouzzif M, Bouragba K (2020) Initial centroid selection method for an enhanced k-means clustering algorithm. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). Springer Singapore, pp 182–190
2. Aggarwal CC, Reddy CK (2014) Data clustering algorithms and applications. CRC Press, Boca Raton
3. Aguirre JCR (2017) Clustering in high dimension for multivariate and functional data using extreme kurtosis projections. Universidad Carlos III de Madrid
4. Al Hasan HM, Chaoji V, Salem S, Zaki MJ (2009) Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognit Lett 30:994–1002. https://doi.org/10.1016/j.patrec.2009.04.013
5. Arthur D, Vassilvitskii S (2007) K-means++: the advantages of careful seeding. In: SODA ’07: proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms. ACM Digital Library, pp 1027–1035
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