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ISO-maps for Non-linear Dimension Reduction - Addressing Geometric and Numerical Issues Observed in Practice

The abundance of high dimensional data has necessitated various approaches to dimensionality reduction. Many of these methods make simplifying assumptions about the variation structure of the data and permit approximating high-dimensional structures using only a few components. In the context of mod...

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Bibliographic Details
Main Author: Evert, Francois
Other Authors: Pienaar, Etienne
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2023
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