[AMAI 2024] Selective: Feature Selection Library
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Updated
Dec 3, 2024 - 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
Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis
Pattern Recognition, Wang, Chenchen, et al. "Unsupervised feature selection by learning exponential weights." 2024.
Module for measuring feature importance for any clustering method.
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