| 摘要 |
A computer-based method and system selects a plurality of training vectors for a pattern recognition system by creating a plurality of clusters and then uniformly sampling the clusters. Each of the clusters is associated with a particular class and includes a plurality of example signals. The example signals are assigned to the clusters as a function of cluster-example distances. If a cluster includes one or more overlapping example signals, the number of clusters associated with the overlapping cluster is increased and the example signals are re-assigned to the clusters. |
