A Proposal of Fuzzy Correspondence Analysis Based on Flexible Data Mining Techniques
作者： Julio Calero , Gabriel Delgado , José-María Serrano , Daniel Sánchez , María-Amparo Vila
DOI: 10.1007/978-3-540-44465-7_55
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摘要: Correspondence analysis can be seen as a first stage in several information fusion tasks, specially the case of integrating different classifications set objects. Although existing statistic tools applied to analyze correspondences between partitions, they seem not suitable when data is affected by imprecision or uncertainty. In this paper, we make proposal correspondence terms mining fuzzy partitions are defined over
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