Survey of Improving K-Nearest-Neighbor for Classification 论文
2007引用 268
Data Management and AlgorithmsData Mining Algorithms and ApplicationsRough Sets and Fuzzy Logic
详细信息
- 发表日期
- 2007-01-01
- 发表年份
- 2007
关键词
Data Management and AlgorithmsData Mining Algorithms and ApplicationsRough Sets and Fuzzy Logic
摘要
KNN (k-nearest-neighbor) has been widely used as an effective classification model. In this paper, we summarize three main shortcomings confronting KNN and single out three main methods for overcoming its three shortcomings. Keeping to these methods, we try our best to survey some improved algorithms and experimentally tested their effectiveness. Besides, we discuss some directions for future study on KNN.