  Assessing the biotype of cattle through human visual inspection is a very
common and important practice in precision cattle breeding. This paper presents
the results of a correlation analysis between scores produced by humans for
Nelore cattle and a variety of measurements that can be derived from images or
other instruments. It also presents a study using the k-means algorithm to
generate new ways of clustering a batch of cattle using the measurements that
most correlate with the animal's body weight and visual scores.
