scholarly journals Nonparametric Bayes Modeling of Multivariate Categorical Data

2009 ◽  
Vol 104 (487) ◽  
pp. 1042-1051 ◽  
Author(s):  
David B. Dunson ◽  
Chuanhua Xing
Keyword(s):  
Categorical Data ◽  
Nonparametric Bayes ◽  
Multivariate Categorical

scholarly journals MGLM: An R Package for Multivariate Categorical Data Analysis

The R Journal ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 73 ◽  
Author(s):  
Juhyun Kim ◽  
Yiwen Zhang ◽  
Joshua Day ◽  
Hua Zhou
Keyword(s):  
Data Analysis ◽  
Categorical Data ◽  
R Package ◽  
Categorical Data Analysis ◽  
Multivariate Categorical

Quantification of Multivariate Categorical Data Considering Typicality of Item

2007 ◽  
Vol 11 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Chi-Hyon Oh ◽  
◽  
Katsuhiro Honda ◽  
Hidetomo Ichihashi ◽  
Keyword(s):  
Numerical Experiment ◽  
Objective Function ◽  
Fuzzy Clustering ◽  
Categorical Data ◽  
The Other ◽  
Additional Parameter ◽  
Homogeneity Analysis ◽  
Degree Of Membership ◽  
Multivariate Categorical

We propose simultaneously applying homogeneity analysis and fuzzy clustering that simultaneously partitions individuals and items in categorical multivariate datasets. This objective function includes two types of memberships. One is conventional membership representing the degree of membership of each individual in each cluster. The other is an additional parameter that represents typicality of item. A numerical experiment demonstrates that our proposal is useful in quantifying categorical data, taking the typicality of each item into account.

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