How to Implement KNN with RBF Metric in Machine Learning
K-Nearest Neighbours algorithm doesn’t deal very well with high-dimensional data and complex decision boundaries. Data points’ meaningful relationships often escape traditional distance metrics, which results in suboptimal classification. KNN with RBF metric solves these limitations by changing the feature space into a better format for similarity calculations. Our readers ...
