# VC dimension

**Vapnik Chervonenkis dimension** (or

**VC dimension**) is a measure of the capacity of a

learning algorithm. It is one of the core concepts in

statistical learning theory. It was originally defined by

Vladimir Vapnik and

Alexey Chervonenkis.

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- A. Blumer, A. Ehrenfeucht, D. Haussler, and M. K. Warmuth.
*Learnability and the Vapnik-Chervonenkis dimension.* Journal of the ACM, 36(4):929--865, 1989.