[AMAI 2024] Selective: Feature Selection Library
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Updated
Sep 9, 2025 - Python
[AMAI 2024] Selective: Feature Selection Library
Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning
The python tools for GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
Pattern Recognition, Wang, Chenchen, et al. "Unsupervised feature selection by learning exponential weights." 2024.
Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis
Module for measuring feature importance for any clustering method.
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