In this paper, a novel approach to the k-Nearest Neighbors ( kNN) algorithm is proposed. As one of the ten classical algorithms of data mining, KNN algorithm has a very good performance in ...

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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 ...

A fingerprint map is generated and K-Nearest Neighbourhood algorithm (KNN) is deployed to calculate the object locations. Fingerprint coordinates and RSS values received at these coordinates are ...