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ERIC Number: ED069693
Record Type: RIE
Publication Date: 1972-Aug
Pages: 26
Abstractor: N/A
Reference Count: 0
Cluster Analysis by Linear Contrasts.
Shafto, Michael
The purpose of this paper is to suggest a technique of cluster analysis which is similar in aim to the Interactive Intercolumnar Correlation Analysis (IICA), though different in detail. Two methods are proposed for extracting a single bipolar factor (a "contrast compenent") directly from the initial similarities matrix. The advantages of this general approach are that: (a) It helps avoid certain misclassification problems inherent in IICA; (b) It is related in a straightforward way to conventional techniques of multidimensional scaling and therefore allows a unified treatment of dimensional and "typal" structures; and (c) It provides an interesting solution to the problem of relations among linear contrasts based on different subsets of the stimuli. (Author/DJ)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: National Science Foundation, Washington, DC.
Authoring Institution: Educational Testing Service, Princeton, NJ.
Note: A draft