Hyperplane: Revision history

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20 March 2023

  • curprev 05:0405:04, 20 March 2023‎ Walle talk contribs‎ 2,927 bytes +2,927‎ Created page with "{{see also|Machine learning terms}} ==Definition== In machine learning, a '''hyperplane''' refers to a geometric construct that serves as a decision boundary for separating different classes or categories of data points in a multidimensional space. It is an essential concept for many classification and regression algorithms, including the popular Support Vector Machines (SVM) method. Mathematically, a hyperplane is an (n-1)-dimensional subspace within an n-dimens..."
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