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A feature ranking algorithm for clustering medical data
2023-09-30
health informatics
Title + abstract only
View on medRxiv
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ObjectiveClustering methods are often applied to electronic medical records (EMR) for various objectives, including the discovery of previously unrecognized disease subtypes. The abundance and redundancy of information in EMR data raises the need to rank the features by their relevance to clustering. MethodsHere we propose FRIGATE, an ensemble feature ranking algorithm for clustering. FRIGATE ranks the features by solving multiple clustering problems on subgroups of features, using game-theoret...
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