曲線數據之群集分析

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题名:	曲線數據之群集分析
其它题名:	Clustering Analysis for Curve Data
作者:	黃家俊 Wong Ka Chub
贡献者:	呂恒輝 Lue Heng-Hui 統計學系
关键词:	群集分析 Curve Clustering;Curve Correlation;Dimension Reduction;Curve Data Analysis
日期:	2019
上传时间:	2019-12-16T06:28:48Z (UTC)
摘要:	This article concerns about clustering analysis for curve data with high- dimensional covariates. We propose an adaptive correlation-based approach for achieving clustering. The key idea is to use the shape similarity of structure components to distinguish different clusters from viewpoint of a space basis. Curves with similar shape will be embedding into the same cluster. Our algorithm takes advantage of PDE proposed by Lue (2019) to estimate the loading and basis functions for dimension reduction purpose. Simulation studies illustrate the usefulness of the proposed method.
显示于类别:	[統計學系所] 碩博士論文

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