Abstract
The additive clustering approach is applied to the problem of two-mode clustering and compared with the recent error-variance approach of Eckes and Orlik (1993). Although the schemes of the computational algorithms look very similar in both of the approaches, the additive clustering has been shown to have several advantages. Specifically, two technical limitations of the error-variance approach (see Eckes and Orlik 1993, p. 71) have been overcome in the framework of the additive clustering.
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The research was supported by the Office of Naval Research under grant number N0014-93-1-0222 to Rutgers University. The authors are indebted both to Fionn Murtagh, who served as Acting Editor, and to anonymous Referees for thoughtful and constructive reviews.
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Mirkin, B., Arabie, P. & Hubert, L.J. Additive two-mode clustering: The error-variance approach revisited. Journal of Classification 12, 243–263 (1995). https://doi.org/10.1007/BF03040857
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DOI: https://doi.org/10.1007/BF03040857