Given a set $X$ and a function $h:X\longrightarrow\{ 0,1\}$ which labels each element of $X$ with either $0$ or $1$, we may define a function $h^{ (s)}$ to measure the similarity of pairs of points in $X$ according to $h$. Specifically, for $h\in \{ 0,1\}^X$ we define $h^{ (s)}\in \{ 0,1\}^{ X\times X}$ by $h^{ (s)}(w,x):= \mathbb{ 1}[h(w) = h(x)]$. This idea can be extended to a set of functions, or hypothesis space $\mathcal{ H} \subseteq \{ 0,1\}^X$ by defining a similarity hypothesis space $\mathcal{ H}^{ (s)}:=\{ h^{ (s)}:h\in\mathcal{ H}\}$. We show that ${ { vc-dimension}}(\mathcal{ H}^{ (s)}) \in \Theta({ { vc-dimension}}(\mathcal{ H}))$.

Categories: cs.LG

The VC-Dimension of Similarity Hypotheses Spaces