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Updated: Jan 15, 2026

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
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Published on: December 12, 2019

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SMCFO:一种新的鱼优化算法,通过简单的数据聚类方法来增强

Kalpanarani K1, Hannah Grace G1

  • 1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology - Chennai, Chennai, Tamil Nadu, India.

Frontiers in artificial intelligence
|October 13, 2025
PubMed
概括

一个新的集群算法,SMCFO,使用Nelder-Mead方法增强了鱼优化算法 (CFO). 与现有方法相比,这种改进的数据聚类方法提供了更高的准确性和稳定性.

关键词:
纳尔德-米德简单方法简单方法集群集成是指集群集成.鱼优化算法 鱼优化算法全球搜索能力 全球搜索能力.超启发式优化算法 超启发式优化算法

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