Hyperplane example sentences

"Hyperplane" Example Sentences

1. The data points closest to the hyperplane are the support vectors.
2. The hyperplane is determined by the support vectors.
3. The hyperplane divides the data points into two classes.
4. The hyperplane is the decision boundary of the SVM classifier.
5. The hyperplane is a linear boundary that separates the data points.
6. The hyperplane is determined by the SVM algorithm.
7. The hyperplane is calculated using the support vectors.
8. The hyperplane is a linear surface that divides the data points.
9. The hyperplane is the separating line between the two classes.
10. The hyperplane is the optimal separating line between the two classes.
11. The hyperplane is the optimal boundary that divides the data points.
12. The hyperplane is the optimal boundary that separates the two classes.
13. The hyperplane is a linear surface that separates the two classes.
14. Hyperplane is used to divide the data points into two classes.
15. Hyperplane is a linear boundary that separates the data points.
16. Hyperplane is determined by the support vectors of the data points.
17. Hyperplane is used to calculate the optimal separating line between the two classes.
18. Hyperplane is determined by the SVM algorithm for classification.
19. Hyperplane is the decision boundary of the SVM classifier.
20. Hyperplane is the optimal boundary that divides the data points into two classes.
21. Hyperplane is the optimal separating line between the two classes of data points.
22. The support vectors of the data points determine the hyperplane.
23. The SVM algorithm is used to calculate the hyperplane.
24. The SVM classifier uses the hyperplane as the decision boundary.
25. The hyperplane is the linear surface that separates the two classes.
26. The hyperplane divides the data points into two distinct classes.
27. The hyperplane is the optimal boundary that divides the data points.
28. The hyperplane is the optimal separating line between the two classes.
29. Hyperplane is used to determine the decision boundary of the SVM classifier.
30. Hyperplane is used to calculate the optimal boundary that separates the two classes.
31. Hyperplane is a linear surface that is used to divide the data points.
32. Hyperplane is determined by the support vectors in order to separate the two classes.
33. Hyperplane is the linear boundary that is used to separate the data points.
34. Hyperplane is the optimal separating line between the two classes of data points.
35. The hyperplane is the linear boundary that divides the data points into two classes.
36. The SVM algorithm is used to determine the hyperplane for classification.
37. The hyperplane is the optimal boundary that is used to separate the two classes.
38. The support vectors are used to calculate the hyperplane for the SVM classifier.
39. The hyperplane is the linear surface that is used to separate the two classes.
40. The hyperplane is the optimal boundary that is used to divide the data points.

Common Phases

Support Vector Machines; Feature Selection; Dimensionality Reduction; Classification; Regression; Clustering.