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ICDM
2005
IEEE

Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis

9 years 8 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expansion technique for the cumulant generating function. Next, we introduce a novel concept of symmetry decomposition of probability density functions according to the C4v group. By utilizing the irreducible representations, generalized covariances are explicitly defined, and their utility is demonstrated using an analytically solvable model.
Tsuyoshi Idé
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDM
Authors Tsuyoshi Idé
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