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Updated: May 25, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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基于云模型的自适应时间序列信息颗粒算法及其相似度测量.

Hailan Chen1, Xuedong Gao2, Qi Wu3

  • 1School of Business, Sichuan Normal University, Chengdu 610101, China.

Entropy (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究介绍了一种基于云模型的新方法,用于时间序列的维度缩小. 适应性信息颗粒算法 (CMAIG) 和相似度测量 (CMAIG_ECM) 提高了对不同数据集的集群性能.

关键词:
云模型 云模型 云模型聚类集群是指聚类的聚类.信息的细分化 信息的细分化类似性测量方法的相似性测量方法时间序列时间序列

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