A multistage mathematical approach to automated clustering of high-dimensional noisy data
A critical problem faced in many scientific fields is the adequate separation of data derived from individual sources. Often, such datasets require analysis of multiple features in a highly multidimensional space, with overlap of features and sources. The datasets generated by simultaneous recording...
| Main Authors: | , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
National Academy of Sciences (U.S.),
2015-10-01T12:37:33Z.
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| Subjects: | |
| Online Access: | Get fulltext |