Module for measuring feature importance for any clustering method.
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Updated
Oct 12, 2022 - Python
Module for measuring feature importance for any clustering method.
Pattern Recognition, Wang, Chenchen, et al. "Unsupervised feature selection by learning exponential weights." 2024.
Source Code for Fast Sparse Discriminative K-Means for Unsupervised Feature Selection (FSDK) published on T-NNLS
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Implementation of the unsupervised feature selection algorithm proposed by Ono in March 2020
Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis
The python tools for GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning
Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection
Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)
Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection
[AMAI 2024] Selective: Feature Selection Library
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