A One-class Classification Approach Based on SVDD for Imbalanced and Overlapping Classes

  • تاریخ ثبت : 10 مرداد 1400
  • نویسندگان : سید محمد جوادی مقدم, ریحانه راتقی
  • کلمات کلیدی : Classification, Imbalanced data, Overlapping, SVVD algorithm, KNN algorithm
Imbalanced data classification is in challenge especially when there is overlapping between two classes. The overlap makes it almost impossible to create differences in the two classes and isolate them. In the real world, many of the data sets are imbalanced and overlapped. This paper identifies the overlapping regions optimally by comparing the results of performing a single-class SVDD algorithm in each class. Then the method uses the nearest-neighbor algorithm to classify the data in the overlapping region. The result of the evaluation on the datasets with a high imbalanced rate shows better performance than other approaches.