<Ul> <Li> Bias - variance dilemma </Li> <Li> Computational learning theory </Li> <Li> Empirical risk minimization </Li> <Li> Occam learning </Li> <Li> PAC learning </Li> <Li> Statistical learning </Li> <Li> VC theory </Li> </Ul> <Li> Bias - variance dilemma </Li> <Li> Computational learning theory </Li> <Li> Empirical risk minimization </Li>

Why does k-nearest neighbor algorithm suffer from curse of dimensionality