MastersThesis/thesis.toc at master · JoelSjoberg/MastersThesis · GitHub

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\babel@toc {english}{}
\contentsline {chapter}{\numberline {1}Introduction}{3}{chapter.1}%
\contentsline {chapter}{\numberline {2}Preliminaries}{6}{chapter.2}%
\contentsline {section}{\numberline {2.1}Statistics}{6}{section.2.1}%
\contentsline {subsection}{\numberline {2.1.1}The standard deviation test}{7}{subsection.2.1.1}%
\contentsline {subsection}{\numberline {2.1.2}The interquartile range method}{8}{subsection.2.1.2}%
\contentsline {subsection}{\numberline {2.1.3}Analysis of variance}{8}{subsection.2.1.3}%
\contentsline {section}{\numberline {2.2}Machine Learning}{9}{section.2.2}%
\contentsline {subsection}{\numberline {2.2.1}K-means Clustering}{11}{subsection.2.2.1}%
\contentsline {subsection}{\numberline {2.2.2}Hierarchical clustering}{11}{subsection.2.2.2}%
\contentsline {subsubsection}{\numberline {2.2.2.1}Distance metrics}{12}{subsubsection.2.2.2.1}%
\contentsline {subsubsection}{\numberline {2.2.2.2}Linkage Criteria}{13}{subsubsection.2.2.2.2}%
\contentsline {subsection}{\numberline {2.2.3}Feature Selection}{14}{subsection.2.2.3}%
\contentsline {section}{\numberline {2.3}Deep Learning}{14}{section.2.3}%
\contentsline {subsection}{\numberline {2.3.1}Neural Networks}{14}{subsection.2.3.1}%
\contentsline {subsection}{\numberline {2.3.2}Activation functions}{16}{subsection.2.3.2}%
\contentsline {subsection}{\numberline {2.3.3}Regularization}{17}{subsection.2.3.3}%
\contentsline {subsection}{\numberline {2.3.4}Optimization}{17}{subsection.2.3.4}%
\contentsline {chapter}{\numberline {3}Data Exploration}{20}{chapter.3}%
\contentsline {section}{\numberline {3.1}Data Representation}{21}{section.3.1}%
\contentsline {section}{\numberline {3.2}Balancing the Data}{24}{section.3.2}%
\contentsline {section}{\numberline {3.3}Feature Selection and Visual Analysis}{26}{section.3.3}%
\contentsline {subsection}{\numberline {3.3.1}The frequency criterion}{28}{subsection.3.3.1}%
\contentsline {subsection}{\numberline {3.3.2}The standard deviation test}{30}{subsection.3.3.2}%
\contentsline {subsection}{\numberline {3.3.3}The Interquartile range method}{32}{subsection.3.3.3}%
\contentsline {subsection}{\numberline {3.3.4}Hierarchical clustering}{35}{subsection.3.3.4}%
\contentsline {subsection}{\numberline {3.3.5}K-means clustering}{40}{subsection.3.3.5}%
\contentsline {section}{\numberline {3.4}Post analytical feature extraction}{42}{section.3.4}%
\contentsline {chapter}{\numberline {4}Applying the Data}{44}{chapter.4}%
\contentsline {chapter}{\numberline {5}Conclusion}{49}{chapter.5}%
\contentsline {chapter}{Appendices}{62}{section*.28}%
\contentsline {chapter}{\numberline {A}Feature Selection}{63}{appendix.1.A}%
\contentsline {chapter}{\numberline {B}Spectral Images For Outlier Detection}{64}{appendix.1.B}%
\contentsline {chapter}{\numberline {C}Confusion matrix from model predictions}{70}{appendix.1.C}%
\contentsline {chapter}{\numberline {D}Pre-Processing Pipeline}{71}{appendix.1.D}%
\contentsline {chapter}{\numberline {E}Model Architecture}{72}{appendix.1.E}%