Parameter Optimization in Cluster Identification Algorithms for Characterizing Nanoclusters in Al-Mg-Si-Cu Alloys

Optimization of user-defined parameters (Dmax, Nmin, order (K)) in the Density-based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, used to characterize nanoclusters in Al-0.9% Mg-1.0% Si-0.3% Cu (mass %), was conducted. Ten combinations of parameters with a given K were considere...

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Bibliographic Details

Published in:	Microscopy and microanalysis Vol. 30; no. 4; p. 635
Main Authors:	Song, MinYoung, Kobayashi, Equo, Kim, JaeHwang
Format:	Journal Article
Language:	English
Published:	England 25.06.2024
Subjects:	Al–Mg–Si–Cu alloy nanoclusters APT cluster identification algorithm
ISSN:	1435-8115, 1435-8115
Online Access:	Get more information
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