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) ...
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 ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
GitHub

knn-k-nearest-neighbors-clustering-algorithm

Add a description, image, and links to the knn-k-nearest-neighbors-clustering-algorithm topic page so that developers can more easily learn about it.
pv magazine International

k-Nearest Neighbors algorithm for PV power forecasting

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.
WIBW

K-State’s Tyson Neighbors drafted by San Diego

MANHATTAN, Kan. (WIBW) - With the 118th overall pick in the fourth round of the MLB Draft, the hard throwing right-hander is headed to the Padres. Neighbors played three seasons with K-State. During ...
Frontiers

Random kernel k-nearest neighbors regression

The k-nearest neighbors (KNN) regression method, known for its nonparametric nature, is highly valued for its simplicity and its effectiveness in handling complex structured data, particularly in big ...