\chapter{Background and Related Work}
\label{chap:related}
\input{related/introduction}
\section{Software Defect Prediction}\label{tion:sdp-related}
\input{related/sdp}\label{pg:ivnv}
\subsection{Types of Software Defect Prediction}\label{tion:within-cross}\label{pg:within-cross}
\input{related/typesOfData}
\subsection{Static Code Metrics}
\input{related/metrics}
\section{Locality as it Pertains to Classification}\label{tion:classification-algorithms}
\input{related/classification}
\section{Burak Relevancy Filtering}\label{tion:burak}
\input{related/burak}
\section{Classification Algorithms}\label{tion:classification-algorithms2}
\input{related/classifiers}
\subsection{Locality Based Learners}
\label{tion:locallearners}
\input{related/locality}
\subsubsection{Locally Weighted Naive Bayes}
\label{tion:lwl}
\input{related/lwl}
\subsubsection{RIPPER}
\input{related/ripper}
\subsubsection{Ridor}
\label{tion:RIDOR}
\input{related/ridor}
\input{tables/classifiers}
\subsection{Non-Locality Based Learners}
\label{tion:nonlocallearners}
\input{related/global}
\subsubsection{Naive Bayes}
\label{tion:nb}
\input{related/naivebayes}
\subsubsection{C4.5}\label{tion:C4.5}
\input{related/c45}
\subsubsection{OneR}
\input{related/oner}
\section{Clustering Algorithms}
\label{tion:clustering}
\input{related/clustering}
\input{tables/clusterers}
\subsection{K-Means}
\label{tion:k-means}
\input{related/kmeans}
\subsubsection{Single Pass K-Means}
\input{related/kmeans-variations}
\subsection{Greedy Agglomerative Clustering}
\input{related/gac}
%\subsection{Expectation Maximization}
%\input{related/em}
\subsection{Indexing Algorithms}
\input{related/indexing}
\subsubsection{Ball Trees}
\label{tion:ballTrees}
\input{related/ball}
\subsubsection{KD-Trees}
\label{tion:KDTrees}
\input{related/kd}
\subsubsection{Cover Trees}
\label{tion:coverTrees}
\input{related/cover}
\section{Summary}
\input{related/summary}
