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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...
שמור ב:
| הוצא לאור ב: | Comput Stat Data Anal |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2015
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| נושאים: | |
| גישה מקוונת: | 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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