Supervised non-parametric discretization based on Kernel density estimation
نویسندگان
چکیده
منابع مشابه
Unsupervised Discretization Using Kernel Density Estimation
Discretization, defined as a set of cuts over domains of attributes, represents an important preprocessing task for numeric data analysis. Some Machine Learning algorithms require a discrete feature space but in real-world applications continuous attributes must be handled. To deal with this problem many supervised discretization methods have been proposed but little has been done to synthesize...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2019
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2019.10.016