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ERIC Number: EJ881002
Record Type: Journal
Publication Date: 2010
Pages: 23
Abstractor: As Provided
ISSN: ISSN-0027-3171
Simultaneous Two-Way Clustering of Multiple Correspondence Analysis
Hwang, Heungsun; Dillon, William R.
Multivariate Behavioral Research, v45 n1 p186-208 2010
A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which "k"-means is applied twice to partition the object scores of respondents and the weights of variable categories. In this way, joint clusters that relate a subgroup of respondents exclusively to a subset of variable categories are obtained. The proposed method provides a low-dimensional map of displaying variable category points and the centroids of joint clusters simultaneously. In addition, it offers joint-cluster memberships of variable categories as well as respondents. A Monte Carlo study is conducted to assess the parameter recovery capability of the proposed method based on synthetic data. An empirical application concerning Korean consumers' preferences toward various underwear brands and attributes is presented to demonstrate the effectiveness of the proposed method as compared with 2 relevant extant approaches. (Contains 3 tables and 10 figures.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Korea