Outliers in the data may be detected by clustering, where similar values are organized into groups, or
clusters". Values that fall outside of the set of clusters may be considered outliers. Alternatively, a
combination of computer and human inspection can be used where a predetermined data distribution
is implemented to allow the computer to identify possible outliers. These possible outliers can then be
veri¯ed by human inspection with much less effort than would be required to verify the entire initial
data set.