Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis

Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis

We develop Categorical Exploratory Data Analysis (CEDA) with mimicking to explore and exhibit the complexity of information content that is contained within any data matrix: categorical, discrete, or continuous. Such complexity is shown through visible and explainable serial multiscale structural de...

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Bibliographic Details
Main Authors: Fushing Hsieh, Elizabeth P. Chou, Ting-Li Chen
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
contingency-kD-lattice
high order structural dependency
heterogeneity
mutual conditional entropy matrix
principal component analysis (PCA)
Online Access:https://www.mdpi.com/1099-4300/23/5/594

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https://www.mdpi.com/1099-4300/23/5/594

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