High dimensional low sample size data analysis: a probabilistic graphical model based approach for feature extraction and classification

High dimensional low sample size data analysis: a probabilistic graphical model based approach for feature extraction and classification

High dimensional small sample sized (HDLSS) datasets are datasets which contain many features but a limited number of samples. High dimensional low sample size datasets are commonly found in microarray data and medical imaging (Hall et al.). Most algorithms were not created with high dimensional lo...

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Bibliographic Details
Main Author: Verghese, Sheena Leeza
Format: Thesis (University of Nottingham only)
Language:English
Published: 2020
Subjects:
high dimensional low sample size
classification
correlation explanation
probabilistic graphical model
dimensionality reduction
Online Access:https://eprints.nottingham.ac.uk/61018/

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