Negative Eigenfraction (NEF) is a measure of distortion for the data whether they are lying in Euclidean manner or not. When the value is exactly 0, it means the data is Euclidean. On the other hand, when NEF is far away from 0, it means not Euclidean. The concept of NEF is closely related to the definiteness of a Gram matrix.
an (n\times p) matrix whose rows are observations.
a nonnegative NEF value.
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