In linear algebra and mathematics, the set of all eigenvectors that correspond to a particular eigenvalue, along with the zero vector.
From 'eigen' (characteristic) plus 'space,' a mathematical term describing a geometric space where vectors behave predictably under a given transformation.
An eigenspace is like finding all the directions in which a transformation only stretches or compresses—it's surprisingly useful in data analysis and machine learning for finding meaningful patterns in high-dimensional data.
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