Installation
About
Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 doi:10.1016/j.patcog.2009.03.027, allows to build a robust supervised classifier from learning data with label noise. The idea of the proposed method is to confront an unsupervised modeling of the data with the supervised information carried by the labels of the learning data in order to detect inconsistencies. The method is able afterward to build a robust classifier taking into account the detected inconsistencies into the labels.
Key Metrics
Downloads
Yesterday | 13 +63% |
Last 7 days | 75 -17% |
Last 30 days | 251 +19% |
Last 90 days | 614 -23% |
Last 365 days | 2.725 -21% |