Science, asked by TbiaSamishta, 11 months ago

SVM uses which method for pattern analysis in High dimensional space? Logistic Regression Multi-Linear Regression Kernel Classification

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Answered by aqibkincsem
0

SVM uses the Kernel method for pattern analysis in High dimensional space. SVM uses specific mathematical functions called as the kernel.


It takes the data as an input form and transfers into the required one. There are different types of kernel functions.


Some of them are linear, nonlinear, radial basis function, sigmoid and polynomial.

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