A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data

Takashi Murakami. A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data. In Wolfgang Gaul, Andreas Geyer-Schulz, Lars Schmidt-Thieme, Jonas Kunze, editors, Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010. Studies in Classification, Data Analysis, and Knowledge Organization, pages 101-108, Springer, 2010. [doi]

Abstract

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