Extreme Learning Machine for Joint Embedding and Clustering
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.115
Abstract: Abstract Clustering generic data, i.e., data not specific to a particular field, is a challenging problem due to their diverse complex structures in the original feature space. Traditional approaches address this problem by complementing clustering… read more here.
Keywords: machine joint; feature; extreme learning; learning machine ... See more keywords
A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-89499-8
Abstract: Traditional methods for diagnosing chronic kidney disease (CKD) via laboratory data may not be capable of identifying early kidney disease. Kidney biopsy is unsuitable for regular screening, and imaging tests are costly and time-consuming. Several… read more here.
Keywords: kidney disease; recursive embedding; laboratory data; embedding clustering ... See more keywords