Performance Evaluation of a Fuzzy Entropy based Feature Selection Algorithm

Bacharaju Vishnu Swathi

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Performance Evaluation of a Fuzzy Entropy based Feature Selection Algorithm

机译：基于模糊熵的特征选择算法的性能评估

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This paper presents the performance evaluation of a feature selection method based on a fuzzy entropy measure. Fuzzy entropy is employed to evaluate the information of pattern distribution in the pattern space. With this information, the pattern space is

机译：本文提出了一种基于模糊熵测度的特征选择方法的性能评估。模糊熵用于评估模式空间中模式分布的信息。有了这些信息，模式空间就是

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《International Journal of Engineering Trends and Technology》 |2016年第1期|共页
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Bacharaju Vishnu Swathi;
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2. Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification [J] . Dehuri Satchidananda, Ghosh Ashish Wiley interdisciplinary reviews. Data mining and knowledge discovery . 2013,第2期

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4. FUZZY CONDITIONAL ENTROPY BASED FEATURE EVALUATION AND SELECTION [C] . Hua Zhao, Keyun Qin Decision making and soft computing . 2014

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5. Genetic Algorithms and Feature Subset Selection for Predicting Athletic Performance: Case of Professional Football. [D] . Cordes, Victor. 2016

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6. Feature Selection Using Approximate Conditional Entropy Based on Fuzzy Information Granule for Gene Expression Data Classification [O] . Hengyi Zhang 2021

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7. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms [O] . Joaquín Derrac, Chris Cornelis, Salvador García, 2013

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8. Evaluation of Entropy and JM-Distance Criterions as Features Selection Methods Using Spectral and Spatial Features Derived from LANDSAT Images [R] . Parada, N. D. J., Dutra, L. V., Ii, F. A. M., 1984

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Performance Evaluation of a Fuzzy Entropy based Feature Selection Algorithm

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