Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Multi-modal clustering (MMC) aims to explore complementary information from diverse modalities for clustering performance facilitating. This article studies challenging problems in MMC methods based ...

To address these issues, this paper introduces an integrated framework that leverages Distributed Energy-Efficient Clustering (DEEC), the Energy Efficient Knapsack Algorithm (EEKA), K-Means clustering ...