Empirical study of outlier impact in classification context

Hufsa Khan, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu

Abstract: Highlights•Outlier impact is investigated in a classification context.•Outliers are identified as having higher membership and found outside cluster center.•Different weighted loss functions are also discussed in detail in various situations.•The efficiency and effectiveness of the proposed method are verified experimentally.