A Novel Weighted Multi-label kNN Algorithm
Chunyan Wang · Computer Knowledge and Technology · 2012
ML-kNN modifies kNN by combining Bayesian probability to solve multi-label problem.However,based on probability statis tics,ML-kNN doesnt tend to assign those labels with low occurrence frequency for samples.Thus we proposed a novel weighted ML-kNN algorithm by concerning distances between a sample and its neighbors.We evaluated its performance on three benchmark datas ets with seven metrics.The experiment results show that the weighted ML-kNN algorithm has better performance than ML-kNN on the whole.