Weighted K-Nearest Neighbor Classification Algorithm Based on Genetic Algorithm

  title={Weighted K-Nearest Neighbor Classification Algorithm Based on Genetic Algorithm},
  author={Xuesong Yan and Wei Li and Wei Chen and Wenjing Luo and Can Zhang and Qinghua Wu and Haonan Liu},
K-Nearest Neighbor (KNN) is one of the most popular algorithms for data classification. Many researchers have found that the KNN algorithm accomplishes very good performance in their experiments on different datasets. The traditional KNN text classification algorithm has limitations: calculation complexity, the performance is solely dependent on the training set, and so on. To overcome these limitations, an improved version of KNN is proposed in this paper, we use genetic algorithm combined… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications referenced by this paper.
Showing 1-10 of 14 references

A Fast KNN Algorithm for Text Categorization

2007 International Conference on Machine Learning and Cybernetics • 2007
View 1 Excerpt

Zhang’ou. A Fast KNN Algorithm Applied to Web Text Categorization

W Yi, W B Shi
Journal of the China Society for Scientific and Technical Information • 2007
View 1 Excerpt

Study on KNN Text Categorization Algorithm

Y Lihua, D Qi, G Yanjun
Micro Computer Information, • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…