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Distance-based clustering of functional data with derivative principal component analysis
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-06-11 , DOI: 10.1080/10618600.2024.2366499
Ping Yu 1 , Gongmin Shi 2 , Chunjie Wang 3 , Xinyuan Song 4
Affiliation  

Functional data analysis (FDA) is an important modern paradigm for handling infinite-dimensional data. An important task in FDA is clustering, which identifies subgroups based on the shapes of meas...

中文翻译:


利用导数主成分分析对功能数据进行基于距离的聚类



功能数据分析(FDA)是处理无限维数据的重要现代范例。 FDA 的一项重要任务是聚类,它根据测量值的形状来识别子组...
更新日期:2024-06-11
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