Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study

Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniques would yield various patterns, which significantly affect the performance of visual cluster analysis tasks. We presen...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2022-01, Vol.28 (1), p.529-539
Hauptverfasser:	Xia, Jiazhi, Zhang, Yuchen, Song, Jie, Chen, Yang, Wang, Yunhai, Liu, Shixia
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster analysis Density Dimensionality reduction Embedding Empirical analysis Identification Linearity Manifolds Measurement perception-based evaluation Principal component analysis Reduction Task analysis visual cluster analysis Visual perception Visual tasks Visualization
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