IEEE

An Enhanced Density Peak Clustering Algorithm With Dimensionality Reduction and Relative Density Normalization for High-Dimensional Duplicate Data

Abstract: Cluster analysis is a fundamental method for studying big data problems, as it groups samples based on shared features. In cluster analysis, a particular class of big data problems is ...
IEEE

A Data-Driven Evolutionary Algorithm for Dynamic Vehicle Routing Problems With Time Windows Under Limited Computational Time

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
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The hidden mechanics behind TikTok’s algorithm and influence

This video explores how TikTok operates beyond its surface features focusing on its algorithm data use and global reach It examines how the platform analyzes user behavior to deliver highly ...