GitHub

Measuring the Confidence of the k-Nearest Neighbors Algorithm developed in Python for Visualizing the 3D Stratigraphic Architecture of the Llobregat River Delta in NE Spain

The code can be found in the repository, it can be downloaded as ZIP by clicking in the geen Code button. The only necessary file is the notebook confidence.ipynb. To successfully run the notebook, ...
IEEE

A Scalable K-Nearest Neighbor Algorithm for Recommendation System Problems

Abstract: Memory-based classification techniques are commonly used for modeling recommendation problems. They rely on the intuition that similar users and/or items behave similarly, facilitating ...
IEEE

Application of k-Nearest Neighbors Algorithm in Detection of Hidden Defects in Multilayer Printed Circuit Boards by Ultrasonic Method

Abstract: This paper considers the application of ultrasonic method of detection of hidden defects of multilayer printed circuit boards of radio-electronic devices using the k-nearest neighbors ...
GitHub

Python implementation of a K-D Tree as a pseudo-balanced Tree

A K-Dimensional Tree, or K-D Tree, is a space-partitioning data structure which efficiently organizing points in k-dimensional space. For further details regarding K-D Trees, please see a detailed ...