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Matrix Completion Discriminant Analysis
Matrix completion discriminant analysis (MCDA) is designed for semi-supervised learning where the rate of missingness is high and predictors vastly outnumber cases. MCDA operates by mapping class labels to the vertices of a regular simplex. With c classes, these vertices are arranged on the surface...
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| 發表在: | Comput Stat Data Anal |
|---|---|
| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4634674/ https://ncbi.nlm.nih.gov/pubmed/26549920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2015.06.006 |
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