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Isolation Forest Algorithm Based on Kernel Function
更新时间：2024-11-19
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    • Isolation Forest Algorithm Based on Kernel Function

    • “In the field of outlier detection, the K-iForest algorithm improves performance by resampling the kernel function, and experiments show that its AUC value is 0.1% to 100.2% better than other algorithms.”
    • Software Guide   Vol. 23, Issue 11, Pages: 125-128(2024)

    • DOI：10.11907/rjdk.232049    

      CLC： TP301.6

    • Received：11 October 2023，

      Published：15 November 2024

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  • DONG Dong,Hao LinLin.Isolation Forest Algorithm Based on Kernel Function[J].Software Guide,2024,23(11):125-128. DOI： 10.11907/rjdk.232049.

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Related Author

LIU Juncheng
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ZHOU Feng
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Related Institution

School of Information Engineering,Yancheng Institute of Technology
Yancheng Xiongying Precision Machinery Co.,LTD
School of Mechanical Engineering， University of Shanghai for Science and Technology
School of Optical-Electrical and Computer Engineering， University of Shanghai for Science and Technology
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