Abstract: The application of hyperspectral image (HSI) clustering has become widely used in the field of remote sensing. Traditional fuzzy K-means clustering methods often struggle with HSI data due ...

Drumil Joshi is recognised as an expert in the field of AI for renewable energy. As an M&D Analyst at Southern Power Company, he holds an MS in Data Science and has patents, research papers, and a ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

Ltd. and Meishan Inspur Digital Technology Co., Ltd. jointly applied for a patent titled "A Method for Processing Multi-source Data Based on K-Means Clustering Algorithm Using Large Models." The ...

Inspur Smart City Technology Co., Ltd. and its Meishan Inspur Digital Technology Co., Ltd. recently submitted a patent application titled "A Method for Processing Multi-source Data Based on a Large ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Text clustering is a foundational step in natural language processing (NLP), aimed at grouping similar documents based on shared lexical patterns. K-means remains a widely used algorithm due to its ...

Abstract: The performance of k-means clustering algorithm depends on the selection of distance metrics. The Euclid distance is commonly chosen as the similarity measure in k-means clustering algorithm ...