Using fine-tuned conditional probabilities for data transformation of nominal attributes

Pattern Recognition Letters(2019)

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摘要
•We proposed a fine-tuned conditional probability transformation (FTCPT).•We proposed an improved separability split value transformation.•We proposed a modified MIC-based feature selection for further improving FTCPT.•Experiment results on 12 UCI datasets show that proposed methods are successful.
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关键词
Conditional probability transformation,Fine-tuning algorithm,MIC-based feature selection,Data transformation,Distance measure
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