In unsupervised classification, the computer program automatically groups the pixels in the
image into separate clusters, depending on their spectral features. Each cluster will then be
assigned a landcover type by the analyst.

Each class of landcover is referred to as a "theme" and the product of classification is known as
a "thematic map".