Simultaneous Two-Way Clustering of Multiple Correspondence Analysis

Autor/inn/en	Hwang, Heungsun; Dillon, William R.
Titel	Simultaneous Two-Way Clustering of Multiple Correspondence Analysis
Quelle	In: Multivariate Behavioral Research, 45 (2010) 1, S.186-208 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Data Analysis; Multivariate Analysis; Classification; Monte Carlo Methods; Clothing; Selection; Criteria; Foreign Countries; South Korea + Suchen Sie Ihr Suchwort? Auswertung; Multivariate Analyse; Classification system; Klassifikation; Klassifikationssystem; Monte-Carlo-Methode; Kleidung; Auslese; Ausland; Korea; Republik
Abstract	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.) (As Provided).
Anmerkungen	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: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10