NaegleLab / OpenEnsembles
Code for ensemble clustering
☆102Updated 3 years ago
Alternatives and similar repositories for OpenEnsembles:
Users that are interested in OpenEnsembles are comparing it to the libraries listed below
- A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…☆70Updated 2 years ago
- Feature Selection for Clustering☆96Updated 6 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Clustering by fast search and find of density peaks☆77Updated 6 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆83Updated 2 years ago
- Clustering by fast search and find of density peaks☆62Updated 4 years ago
- An implementation of Consensus clustering in Python☆61Updated 10 months ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 7 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆98Updated 10 months ago
- Python implementation of the CLIQUE subspace clustering algorithm.☆54Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- A practical tool for Maximal Information Coefficient (MIC) analysis☆131Updated last year
- scikit-fusion: Data fusion via collective latent factor models☆147Updated last year
- A Python library of biclustering algorithms, evaluation measures and datasets.☆51Updated 5 years ago
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- CostSensitiveClassification Library in Python☆207Updated 4 years ago
- Code and documentation for experiments in the TreeExplainer paper☆183Updated 5 years ago
- minimum Redundancy Maximum Relevance☆21Updated 12 years ago
- python, scala, and pyspark code for few dimensional reduction algorithms☆62Updated 7 years ago
- Python implementation of iterative-random-forests☆64Updated last year
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated last year
- A framework for benchmarking clustering algorithms☆38Updated last month
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆179Updated 3 years ago
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆138Updated 3 months ago
- Integrative orthogonal non-negative matrix factorization☆31Updated 5 years ago
- Python implementation of Robust Continuous Clustering☆104Updated 5 years ago