ACO-FFDP in incremental clustering for big data analysis
Author:
Affiliation:
1. National School of Applied, Sciences / Mohamed First University, Oujda Morocco
2. National School of Applied Sciences / Mohamed First University, Oujda Morocco
3. DSCI - NSAS / Abdelmalek Essaâdi University, Al-Hoceima Morocco
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3286606.3286782
Reference44 articles.
1. J. a. Hartigan M. a. Wong Algorithm AS 136: A K-Means Clustering Algorithm (1979) Journal of the Royal Statistical Society C 28 (1) pp. 100--108. J. a. Hartigan M. a. Wong Algorithm AS 136: A K-Means Clustering Algorithm (1979) Journal of the Royal Statistical Society C 28 (1) pp. 100--108.
2. A.K. Jain Data clustering: 50 years beyond K-means (2010) Pattern Recognition Letters 31 (8) pp. 651--666. 10.1016/j.patrec.2009.09.011 A.K. Jain Data clustering: 50 years beyond K-means (2010) Pattern Recognition Letters 31 (8) pp. 651--666. 10.1016/j.patrec.2009.09.011
3. A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
4. A Survey of Evolutionary Algorithms for Clustering
5. Bio-inspired clustering: Basic features and future trends in the era of Big Data
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