Dimension reduction strategies for modeling BI-clustered high dimensional data
Abstract (A three-stage framework is developed for fitting a mixture of regressions for high dimensional data. The method combines a hierarchical agglomerative grouping algorithm, regression-based clustering, and a sequential, group-wise sparse estimation called Layered Elastic Net selection (LENS)....
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| Format: | Praca dyplomowa |
| Język: | English |
| Wydane: |
Quezon City
University of the Philippines
2016.
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