Lengths and Distances

Lengths and Distances #

The length of a vector is given by its norm.

The distance between two points (vectors) is the norm of their difference.

Distance quantifies how far two vectors (data points) are from each other.

\[ d(\mathbf{x},\mathbf{y}) = \lVert \mathbf{x} - \mathbf{y} \rVert \]

Why it matters #

  • many ML algorithms depend on distances in feature space

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