Density weighted support vector data description
We present density weighted support vector data description (DW-SVDD). DW-SVDD improves classification accuracy by introducing density weight into the SVDD. Density weight is relative density of each data points using the k-nearest neighbor (k-NN) approach. DW-SVDD prioritizes data points in high-density regions by applying density weight into the search of description of SVDD. Experimental results demonstrated that the DW-SVDD improved the classification accuracy.
one-class classification (occ) support vector data description (svdd) density weighted svdd (dw-svdd) k-nearest neighbor approach