Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Based on positive experimental results and a meaningful comparison with various versions of KNN, we demonstrated that the improved conventional KNN algorithm can achieve very high positioning accuracy ...

To address this issue, in this paper, we propose a feature scaling based k-nearest neighbor algorithm (FS-kNN) for improved localization accuracy. In FS-kNN, we build a novel RSS-based feature scaling ...

SVM completes the identification of different categories of data by constructing a set of hyperplanes in the feature space. 39 KNN, as one of the most fundamental algorithms, classifies by measuring ...