kernel methods

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Author(s)3: Gagan Sidhu
Locally Linear Embedding and fMRI feature selection in psychiatric classification 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding)…

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