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) ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

A Pew Research Center survey suggests that they may like you more than you realize. By Arnesa A. Howell Whether you’re in a city, a suburb or a rural area, living among people you trust can mean the ...

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...

The Met Gala is facing criticism over its lead sponsors. Here’s what Anna Wintour has to say X's fake accounts are exactly what Elon Musk paid for Scientists Studied 'SuperAgers' For 25 Years And ...

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 ...

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 ...

Malware analysis of files, detect the type of malware and check whether its a malware or not by using virus total.

Abstract: In the field of Text Classification/Categorization, the k Nearest Neighbor algorithm (kNN) has been to date one of the oldest and most popular methods. It ...