This paper introduces a machine learning KNN algorithm and Python libraries for visualizing the 3D stratigraphic architecture of porous sedimentary media. A first HTML model shows the consecutive ...

K-Nearest Neighbor (kNN) is an efficient algorithm used in many applications, e.g., text categorization, data mining, and predictive analysis. Despite having a high computational complexity, kNN is a ...

Implementing the k-nearest neighbor (KNN) machine learning algorithm for predicting outcome variables based on input variables. Leveraging the capabilities of Hierarchical Temporal Memory (HTM) for ...

Data broadcasting is an effective way to disseminate information to a large amount of mobile clients in wireless mobile environments. The k nearest neighbor (kNN) search is one of the important ...