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ERIC Number: ED139050
Record Type: RIE
Publication Date: 1977-Apr
Pages: 64
Abstractor: N/A
Reference Count: 0
Krippendorff, Klaus
Clustering techniques seek to group together objects or variables that share some observed qualities or, alternatively, to partition a set of objects or variables into mutually exclusive classes whose boundaries reflect differences in the observed qualities of their members. This paper reviews the general principles underlying clustering techniques and discusses the various options facing the analyst who wishes to make use of them. Topics considered include the canonical form of the data, relevance of the variables included in the analyses, the choice of bi-ordinal or multi-ordinal clustering techniques, the use of distance authoritarianism were related but discriminable entities. Authoritarianism was not analysis, alternative ways of displaying results, measures of relationships between clusters, clustering algorithms, and procedures for validating clusters which emerge from the statistical procedures. (AA)
Publication Type: Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at the Multivariate Analysis in Communication Research Conference (Pacific Grove, California, April 3-6, 1977) 1977)