Linear kernel: Power and Type I error for cluster evaluation metric simulations.

<p>Linear kernel: Power and Type I error for cluster evaluation metric simulations.</p>

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Bibliographic Details
Main Author:	Alexandria M. Jensen (6494957) (author)
Other Authors:	Peter DeWitt (15315763) (author), Brianne M. Bettcher (8491422) (author), Julia Wrobel (10899385) (author), Katerina Kechris (436022) (author), Debashis Ghosh (32244) (author)
Published:	2024
Subjects:	Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> modeling kernel machine tests dimensional feature space neuroscientific community due brain connectivity measures increasing focus within kernel distance function human brain within association using extrinsic community detection algorithms network community structures community structure brain networks network topology wider class proposed methodology neuropsychiatric disease much research modeled parametrically mesoscopic structures measured nonparametrically may confound linear spaces input pairs incorporating notions general association covariate effects conduct inference called communities based algorithms
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