The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Implementing Euclidean distance calculation between data points. Developing a k-NN classifier function to predict class labels based on the majority class among the 'k' nearest neighbors in the ...

The K-Nearest Neighbors (KNN) algorithm was chosen due to its simplicity and superior performance on this classification task compared to other models tested. Accuracy: 89.29% The model showed high ...

Abstract: The paper presents a modified classification method based on the k-nearest neighbor algorithm. In the modified kNN algorithm some aggregations of fuzzy equivalences are used instead of ...

Abstract: Accuracy of the well-known kNN classifier depends significantly on the suitable choice of k. In this paper, we propose an improved kNN algorithm with a novel non-parametric test point ...