Hypersurface

In data science, a hypersurface is a high-dimensional surface that separates data points into different classes or categories. It is a mathematical construct that is used in machine learning algorithms to classify data based on their features. Hypersurfaces are often used in support vector machines (SVMs) and other classification models to find the optimal boundary between different classes of data. The goal is to find a hypersurface that maximizes the margin between the classes, which improves the accuracy of the model. Hypersurfaces can also be used in clustering algorithms to group similar data points together based on their proximity to the surface.
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