i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data explores An iterative unsupervised framework that jointly performs feature selection and clustering for high-dimensional complex data, outperforming classical and deep baselines.. Commercial viability score: 5/10 in Unsupervised Feature Selection.
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