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基于最小规范化协差决定因素和主要组件分析的方法,用于识别高维稀疏数据中的高杆点

Siti Zahariah1,2, Habshah Midi2,3

  • 1Applied Statistics and Data Science Cluster, Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL MIIT), Kuala Lumpur, Malaysia.

Journal of applied statistics
|October 30, 2023
PubMed
概括

一种新的方法,RMD-MRCD-PCA,有效地识别高维数据中的高杆点. 它改进了现有的方法,特别是当变量数量超过200时.

关键词:
最小调整的协差决定因素.高维数据的高维数据.高杆点的高杆点是什么主要组件分析的主要组件分析强大的Mahalanobis距离距离

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