Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis

By B. Roux, H. Rouanet. 2004

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Deep Learning in Mobile and Wireless Networking: A Survey (2018, methodology): “ate data represented by coordinates, topology, metrics and order [100].”
Algorithms for hierarchical clustering: an overview, II (2017, background): “Further reading on this is to be found in Benz´ecri (1979), Le Roux and Rouanet (2004) and Murtagh (2005).”
Algorithms for hierarchical clustering: an overview (2012, background): “Further reading on this is to be found in Benz´ecri 15 and Le Roux and Rouanet, 16 and Murtagh.”
Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? (2011, methodology): “The sample statistic is used in Le Roux and Rouanet (2004), and by Legendre and Legendre (2012).”
Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns (2010, methodology): “However, as the crux of these methods is multiple correspondence analysis (MCA; for a comprehensive presentation of MCA, see Le Roux and Rouanet 2004) they do not take advantage of the extra information contained in the ordering of events.”