The "p"-Median Model as a Tool for Clustering Psychological Data

Autor/inn/en	Kohn, Hans-Friedrich; Steinley, Douglas; Brusco, Michael J.
Titel	The "p"-Median Model as a Tool for Clustering Psychological Data
Quelle	In: Psychological Methods, 15 (2010) 1, S.87-95 (9 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-989X
DOI	10.1037/a0018535
Schlagwörter	Computer Software; Psychological Studies; Data Analysis; Research Methodology; Cluster Grouping; Multivariate Analysis; Classification; Food + Suchen Sie Ihr Suchwort? Auswertung; Research method; Forschungsmethode; Eingruppierung; Multivariate Analyse; Classification system; Klassifikation; Klassifikationssystem; Lebensmittel
Abstract	The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of "p"-median clustering are virtually unavailable in the popular social and behavioral science statistical software packages. We present "p"-median clustering, including a detailed description of its mechanics and a discussion of available software programs and their capabilities. Application to a complex structured data set on the perception of food items illustrates "p"-median clustering. (Contains 2 figures and 2 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10