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UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification

机译：未经申请：未经监督的特征提取聚类与危机制度分类的申请

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Jorge Antonio Chan-Lau; Ran Wang;
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年度 2020
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2. LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction [J] . Li C.-H.Kuo B.-C.Lin C.-T. Fuzzy Systems, IEEE Transactions on . 2011,第1期

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5. Pattern classification and clustering algorithms with supervised and unsupervised neural networks in financial applications. [D] . Lee, Ki-Dong. 2001

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7. Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection [O] . Steven R. Young, Itamar Arel 2013

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8. Analysis of the Performance of a Parametric and Nonparametric Classification System: An Application to Feature Selection and Extraction in Radar Target Identification [R] . Djouadi, A., Garber, F. D. 1987

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UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification

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