Potential improvement of classifier accuracy by using fuzzy measures
نویسندگان
چکیده
منابع مشابه
Potential improvement of classifier accuracy by using fuzzy measures
Typical digit recognizers classify an unknown digit pattern by computing its distance from the cluster centers in a feature space. The -nearest neighbor (KNN) rule assigns the unknown pattern to the class belonging to the majority of its neighbors. These and other traditional methods adopt a uniform rule irrespective of the “difficulty” of the unknown pattern. In this paper, we propose a method...
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ژورنال
عنوان ژورنال: IEEE Transactions on Fuzzy Systems
سال: 2000
ISSN: 1063-6706
DOI: 10.1109/91.890327