Classifying imbalanced data sets using similarity based hierarchical decomposition
نویسندگان
چکیده
منابع مشابه
Classifying imbalanced data sets using similarity based hierarchical decomposition
Classification of data is difficult if the data is imbalanced and classes are overlapping. In recent years, more research has started to focus on classification of imbalanced data since real world data is often skewed. Traditional methods are more successful with classifying the class that has the most samples (majority class) compared to the other classes (minority classes). For the classifica...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2015
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2014.10.032