Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) Framework

Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) Framework

Linear latent variable models such as principal component analysis (PCA), independent component analysis (ICA), canonical correlation analysis (CCA), and factor analysis (FA) identify latent directions (or loadings) either ordered or unordered. These data are then projected onto the latent direction...

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Bibliographic Details
Main Authors: Jesse Stevens, Daniel N. Wilke, Isaac I. Setshedi
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Mathematical and Computational Applications
Subjects:
latent space
reconstruction
interpretation
scaling
ranking
clustering
Online Access:https://www.mdpi.com/2297-8747/29/5/85

Internet

https://www.mdpi.com/2297-8747/29/5/85

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