Principal Component Analysis in the Graph Frequency Domain

We propose a novel principal component analysis in the graph frequency domain for dimension reduction of multivariate data residing on graphs. The proposed method not only effectively reduces the dimensionality of multivariate graph signals, but also provides a closed-form reconstruction of the orig...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Kim, Kyusoon, Oh, Hee-Seok
Format:	Artikel
Sprache:	eng
Schlagworte:	Data analysis Frequency analysis Frequency domain analysis Multivariate analysis Principal components analysis Reconstruction
Online-Zugang:	Volltext
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