Classes are not Clusters : Improving Label-based Evaluation of Dimensionality Reduction

A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embeddings. This approach is based on the assumption that the classes stay as clear clusters in the original high-dimensional...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2023) vom: 03. Nov.
1. Verfasser:	Jeon, Hyeon (VerfasserIn)
Weitere Verfasser:	Kuo, Yun-Hsin, Aupetit, Michael, Ma, Kwan-Liu, Seo, Jinwook
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article