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stat.ME2026
Visualizing Class Specific Heterogeneous Tendencies using R
Mariko Takagishi, Michel van de Velden
In this paper we introduce the R package mccca, which implements multiple-class cluster correspondence analysis (MCCCA) proposed in M.Takagishi et al., (2022). MCCCA is a statistic…
stat.ME2018
Bi-clustering for time-varying relational count data analysis
Satoshi Goto, Mariko Takagishi, Hiroshi Yadohisa
Relational count data are often obtained from sources such as simultaneous purchase in online shops and social networking service information. Bi-clustering such relational count d…
stat.ME2018
Visualizing class specific heterogeneous tendencies in categorical data
Mariko Takagishi, Michel van de Velden
In multiple correspondence analysis, both individuals (observations) and categories can be represented in a biplot that jointly depicts the relationships across categories or indiv…