2D–EM clustering approach for high-dimensional data through folding feature vectors
Abstract Background Clustering methods are becoming widely utilized in biomedical research where the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient information can reveal distinct phenotype groups with different underlying mechanism, risk prognosis and treatm...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-12-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1970-8 |