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K Important Neighbors: A Novel Approach to Binary Classification in High Dimensional Data
K nearest neighbors (KNN) are known as one of the simplest nonparametric classifiers but in high dimensional setting accuracy of KNN are affected by nuisance features. In this study, we proposed the K important neighbors (KIN) as a novel approach for binary classification in high dimensional problem...
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出版年: | Biomed Res Int |
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主要な著者: | , , |
フォーマット: | Artigo |
言語: | Inglês |
出版事項: |
Hindawi
2017
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主題: | |
オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5742505/ https://ncbi.nlm.nih.gov/pubmed/29376076 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/7560807 |
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