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]
@inproceedings{Murakami10-2,
title = {A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data},
author = {Takashi Murakami},
year = {2010},
doi = {10.1007/978-3-642-24466-7_11},
url = {http://dx.doi.org/10.1007/978-3-642-24466-7_11},
researchr = {https://researchr.org/publication/Murakami10-2},
cites = {0},
citedby = {0},
pages = {101-108},
booktitle = {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},
editor = {Wolfgang Gaul and Andreas Geyer-Schulz and Lars Schmidt-Thieme and Jonas Kunze},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
publisher = {Springer},
isbn = {978-3-642-24465-0},
}