MS_225 — Maintenance and safety of aging infrastructure (2)

The Akaike information criterion (AIC), which is given by Akaike (1973) as

AIC( ) k( )og e oodl lik lih (1) where k is the number of estimated clusters. However, as the −2 × (log-likelihood) result becomes larger, the penalty term becomes increasingly insignificant. For large data sets, there is a high probability that the log-likelihood values will grow large.