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structure and relations in the data. It is a tool of
discovery" ( 1 9 7 3 * 4 ) .
According to Sokal and Sneath ( 1 9 6 3 * 1 2 0 ) , and M.R.
Anderberg ( 1 9 7 3 * 1 1 ) * "data units" are the logical
fundamental units in a large majority of individual or-
ganisms and can be looked at in terms of "subject",
"observation", "case", "element", "object", or "event".
Consequently, in archaeological applications, stone arti-
facts, pottery type, design element, or even the archaeo-
logical site can frequently be used as data units or OTU
(operational taxonomic units). The other basic term in
the use of cluster analysis is "variable". The distance
of the difference or the degree of the resemblance among
the data units must be consistently described in terms of
their characteristics, attributes, class memberships,
traits, and other such properties. Collectively, these
descriptors are called "variables". The resemblance of
data units completely depends on the values of a l l the
variables. One very important and basic axiom in this
technique of analysis is that every character (variable)
is treated as having equal weight. Thus, i t is possible
to describe the data unit by calculating the value of the