Contribute to 28humaid/knn-algorithm-WITHOUT-using-scikit-learn-Sklearn- development by creating an account on GitHub.

Classification: Given a new animal, the KNN algorithm identifies the k closest animals in the training set based on their features, and classifies the new animal based on the majority class among ...

By combining these two techniques, the efficiency of the classification process could be increased significantly. All features of PCA and KD-Tree related to the new proposed algorithm are discussed ...

With the business world aggressively adopting Data Science, it has become one of the most sought-after fields. We explain what a K-nearest neighbor algorithm is and how it works. K-Nearest Neighbors ...

Abstract In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...

This article will help you in understanding the intuition behind KNN and also to implement it in python for regression problems.