Detecting Trivariate Associations in High‐Dimensional Datasets

Detecting Trivariate Associations in High‐Dimensional Datasets

Detecting correlations in high‐dimensional datasets plays an important role in data mining and knowledge discovery. While recent works achieve promising results, detecting multivariable correlations especially trivariate associations still remains a challenge. For example, maximal information coeffi...

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Bibliographic Details
Main Authors: Dang, Y. (Author), Liu, C. (Author), Liu, X. (Author), Wang, S. (Author), Yuan, H. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
article
correlation
Correlation
Data mining
Information coefficient
intermethod comparison
large data
Large data
Large dataset
Maximal information
Maximal information coefficient
maximal information coefficient (MIC)
Microwave integrated circuits
noise
Quadratic optimized trivariate information coefficient
quadratic optimized trivariate information coefficient (QOTIC)
Quadratic programming
sample size
Trivariate
Trivariate association
trivariate associations
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