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\paragraph{$k$-Nearest Neighbors}
($k$-NN) \cite{knn}
($k$-NN) \cite{knn} is one of the simplest machine learning algorithms. It
classifies a new instance based on its ``distance'' to the known instances.
It will find the $k$ closest instances to the new instance and assign the
new instance the class that the majority of the $k$ closest instances has.
The method has to be configured in several ways: the number of $k$, the
distance measure, and (depending on $k$) a tie breaking measure all have to
be chosen.
\paragraph{Support Vector Machine}