著者: Zheng Zhao , Huan Liu - 2011 被引用: 108
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise
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An Extensive Empirical Study of Feature… An Extensive Empirical Study of Feature Selection Metrics for Text Classification Laplacian Eigenmaps for Dimensionality Reductio… Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Kernels and Regularization on Graphs Kernels and Regularization on Graphs Toward Integrating Feature Selection… Toward Integrating Feature Selection Algorithms for Classification and Clustering Nonlinear Dimensionality Reduction by… Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization Gene set enrichment analysis: A… Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles A review of feature selection techniques in… A review of feature selection techniques in bioinformatics Semi-supervised Feature Selection via Spectral… Semi-supervised Feature Selection via Spectral Analysis A Tutorial on Spectral Clustering A Tutorial on Spectral Clustering Discriminative Semi-Supervised Feature… Discriminative Semi-Supervised Feature Selection via Manifold Regularization Efficient Spectral Feature Selection with… Efficient Spectral Feature Selection with Minimum Redundancy An Integrative Approach to Indentifying… An Integrative Approach to Indentifying Biologically Relevant Genes Massively Parallel Feature Selection: An… Massively Parallel Feature Selection: An Approach Based on Variance Preservation Massively parallel feature selection: an… Massively parallel feature selection: an approach based on variance preservation Feature Selection for Clustering: A Review Feature Selection for Clustering: A Review Recent advances and emerging challenges of… Recent advances and emerging challenges of feature selection in the context of big data UDSFS: Unsupervised deep sparse feature selection UDSFS: Unsupervised deep sparse feature selection Recent advances in feature selection and… Recent advances in feature selection and its applications A new Unsupervised Spectral Feature… A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach A review of unsupervised feature selection… A review of unsupervised feature selection methods A review of feature selection methods in… A review of feature selection methods in medical applications A Supervised Filter Feature Selection metho… A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis A survey on feature selection methods for… A survey on feature selection methods for mixed data Filter unsupervised spectral feature… Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure Spectral Feature Selection for Data… Spectral Feature Selection for Data Mining 過去の参考文献 中心の論文 この論文を引用する論文 古い 新しい ノードをクリックするとフォーカスを固定、空白をクリックすると本論文に戻ります。ホバーで一時的にプレビューできます。各ノードのページはタイトルから開けます。
