Identifying clusters structure of rare events using random forest clustering
Given highly imbalanced data, most learning algorithms faced the challenge to accurately predict rare events, while such cases were the ones that carry importance and useful knowledge. In a binary class label dataset, the rare events are the ones in the minority class. This study used a stroke datas...
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Main Authors: | , , , |
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Format: | Proceedings |
Language: | English English |
Published: |
Faculty of Science and Natural Resources
2021
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/32160/1/Identifying%20clusters%20structure%20of%20rare%20events%20using%20random%20forest%20clustering.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32160/2/IDENTIFYING%20CLUSTERS%20STRUCTURE%20OF%20RARE%20EVENTS%20USING%20RANDOM%20FOREST%20CLUSTERING.pdf https://eprints.ums.edu.my/id/eprint/32160/ https://drive.google977-2-73-522200-2.com/file/d/1zKEpSiYvg9vZHHzuKra49512D_AMLubu/view |
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Institution: | Universiti Malaysia Sabah |
Language: | English English |
Internet
https://eprints.ums.edu.my/id/eprint/32160/1/Identifying%20clusters%20structure%20of%20rare%20events%20using%20random%20forest%20clustering.ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/32160/2/IDENTIFYING%20CLUSTERS%20STRUCTURE%20OF%20RARE%20EVENTS%20USING%20RANDOM%20FOREST%20CLUSTERING.pdf
https://eprints.ums.edu.my/id/eprint/32160/
https://drive.google977-2-73-522200-2.com/file/d/1zKEpSiYvg9vZHHzuKra49512D_AMLubu/view