A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiv...
| 出版年: | Journal of Information Technology Management |
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| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
University of Tehran
2020-12-01
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| 主題: | |
| オンライン･アクセス: | https://jitm.ut.ac.ir/article_78401_aa4ee9377b284f7eaf141c5a92adbe96.pdf |