[AMAI 2024] Selective: Feature Selection Library
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Updated
Dec 3, 2024 - Python
[AMAI 2024] Selective: Feature Selection Library
Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection
MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)
Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints (ECFPs)
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
Source Code for Fast Sparse Discriminative K-Means for Unsupervised Feature Selection (FSDK) published on T-NNLS
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.
Implementation of the unsupervised feature selection algorithm proposed by Ono in March 2020
Module for measuring feature importance for any clustering method.
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