Luhn Algorithm: Verify Credit Card Numbers & Ensure Accuracy

Discover how the Luhn Algorithm verifies credit card accuracy, supports secure transactions, and helps prevent errors in inputting Social Security numbers.
C&EN

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K-Nearest Neighbor Analysis and K-Medoids Clustering

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
GitHub

Approximate Sparse Nearest-Neighbor Search in OpenSearch

Since version 2.11, OpenSearch has supported neural sparse retrieval as a novel semantic search approach. Leveraging inverted index technology, this method achieves efficiency comparable to ...
Gothamist

At NYCHA’s first dog park, Bronx K-9 and human neighbors alike are making fast friends

Jose Carrion and his partner, Jenny Sanchez, took their pit bull, Duke, to the new dog park nestled in the middle of the Castle Hill Houses on Monday afternoon. It had only been two days since the ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...