Stepwise Covariance-Free Common Principal Components (CF-CPC) With an Application to Neuroscience
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DOI: 10.3389/fnins.2021.750290
Abstract: Finding the common principal component (CPC) for ultra-high dimensional data is a multivariate technique used to discover the latent structure of covariance matrices of shared variables measured in two or more k conditions. Common eigenvectors… read more here.
Keywords: common principal; neuroscience stepwise; covariance; stepwise covariance ... See more keywords