An approach to supervised distance metric learning based on difference of convex functions programming.

•We develop a metric learning method (DML-dc) for nearest-neighbor classification.•DML-dc is based on difference of convex functions (DC) programming.•DML-dc uses the ramp loss function to avoid the influence of outliers.•Extensive experiments on several benchmark data sets show the effectiveness of DML-dc.