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Filtering by: Creator Johnson, Eric Mitchell Keyword Curse of Dimensionality Resource type Dissertation Subject Applied mathematics Subject Computer science

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1. Principled Analysis of High-Dimensional Data: How to Identify Signals while under the Curse of Dimensionality

Description:: Modern data sets are increasingly vast, not only in the number of samples, but also in the number of measurements, or features, that they contain. This high-dimensionality poses a unique set of problems for data analysis due to a set of phenomena known as ``the curse of dimensionality.'' This thesis...
Keyword:: Data Visualization, Circular Linear Regression, Dimensionality Reduction, Curse of Dimensionality, and Quality Assessment
Subject:: Applied mathematics, Bioinformatics, and Computer science
Creator:: Johnson, Eric Mitchell
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_892588 and http://dissertations.umi.com/northwestern:15988

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1. Principled Analysis of High-Dimensional Data: How to Identify Signals while under the Curse of Dimensionality