Hyperplane
A Hyperplane is a subspace whose dimension is one less than that of its ambient space. In machine learning, it acts as a decision boundary to separate different data classes.
Frequently Asked Questions
What is the role of a hyperplane in SVMs?▼
It is the decision boundary that separates data points into distinct classes with the maximum margin of separation.
What is the equation of a hyperplane?▼
`W * x + b = 0` where W is the normal weight vector, x is the coordinate vector, and b is the intercept bias.
Quick Facts
- CategoryMathematical Foundations
- Key ApplicationSupport Vector Machine classification, mathematical optimization, and coordinate separation.
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