Departmental Papers (ASC)
Title
Document Type
Book Chapter
Date of this Version
1980
Abstract
Clustering seeks to group or to lump together objects or variables that share some observed qualities or, alternatively, to partition or to divide a set of objects or variables into mutually exclusive classes whose boundaries reflect differences in the observed qualities of their members. Clustering thus extracts typologies from data which in turn represent a reduction of data complexity and may lead to conceptual simplifications.
Date Posted: 01 August 2012
Comments
Krippendorff, K. (1980). Clustering. In P. R. Monge & J. N. Cappella (Eds.), Multivariate Techniques in Human Communication Research (pp. 259-308). New York, NY: Academic Press.
© Elsevier 1980