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1
Automatic Clustering for Selection of Optimal Number of Clu..:
, In:
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
,
Alam, Afroj
;
Muqeem, Mohd
- p. 343-347 , 2022
Link:
https://doi.org/10.1109/ICTACS56270.2022.9988619
RT T1 <cTitle>2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)</cTitle>: T1 <Title>Automatic Clustering for Selection of Optimal Number of Clusters by K-Means Integrated with Enhanced Firefly Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9988619&Exemplar=1&LAN=DE A1 Alam, Afroj A1 Muqeem, Mohd YR 2022 K1 Measurement K1 Machine learning algorithms K1 Metaheuristics K1 Clustering algorithms K1 Machine learning K1 Partitioning algorithms K1 Classification algorithms K1 K-means(KM) K1 Firefly algorithm(FA) K1 Intra-cluster distance K1 Modified firefly algorithm (EFA) K1 Metaheuristic optimization algorithm (MOA) SP 343 OP 347 LK http://dx.doi.org/https://doi.org/10.1109/ICTACS56270.2022.9988619 DO https://doi.org/10.1109/ICTACS56270.2022.9988619 SF ELIB - SuUB Bremen
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