Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

DOI10.1080/10618600.2022.2035737OpenAlexW4225829078MaRDI QIDQ5057089

Michel Van De Velden, Mariko Takagishi

Publication date: 15 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1811.01596

zbMATH Keywords

visualizationclusteringcontingency tablemultiple correspondence analysisexternal information

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Uses Software

• R

Cites Work

• Generalized constrained multiple correspondence analysis
• Cluster correspondence analysis
• Relationships among several methods of linearly constrained correspondence analysis
• Principal component analysis with external information on both subjects and variables
• A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
• Goodness of fit of biplots and correspondence analysis
• Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
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