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Linearly separable and nonlinearly separable

Linearly separable and nonlinearly separable

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Figure 1. Maximization of the margin between two classes
Figure 2. Data classification using support vector machine
Figure 3. Linearly separable and nonlinearly separable
Description of part of datasets used in our study.
A Fuzzy Interactive BI-objective Model for SVM to Identify the Best Compromise Solution for Measuring the Degree of Infection With Corona Virus Disease (Covid-19)
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  • Jan 2021
A support vector machine (SVM) learns the decision surface from two different classes of the input points. In several applications, some of the input points are misclassified and each is not fully allocated to either of these two groups. In this paper a bi-objective quadratic programming model with fuzzy parameters is utilized and different feature...
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... the data that are not linearly separable figure 3, the previous analysis can be generalized by introducing some nonnegative variables ξ í µí±– ≥ 0 then, ...
Context 2
... the data that are not linearly separable figure 3, the previous analysis can be generalized by introducing some nonnegative variables ξ í µí±– ≥ 0 then, ...

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