elbamos / clusteringdatasetsLinks
An R package providing datasets useful for testing clustering algorithms
☆16Updated 7 years ago
Alternatives and similar repositories for clusteringdatasets
Users that are interested in clusteringdatasets are comparing it to the libraries listed below
Sorting:
- Lag Penalized Weighted Correlation for Time Series Clustering☆21Updated 5 years ago
- Dimension Reduction and Estimation Methods☆54Updated last month
- An R package for clustering mixed-type data☆16Updated 2 years ago
- ☆13Updated 6 years ago
- A R package for multi-dimensional data visualization☆11Updated 3 months ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- Stability Selection with Error Control☆26Updated 4 years ago
- SNE Simulation Dataset Functions☆12Updated 7 months ago
- Perform inference on algorithm-agnostic variable importance☆24Updated last month
- Using SHAP values as feature selection mechanism☆22Updated 3 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆15Updated 2 years ago
- R package for Non-negative Tensor Decomposition☆20Updated last year
- R package for Conditional Random Fields☆19Updated last week
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated this week
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 5 years ago
- R implementation of Robust Rank Aggregation algortihm☆10Updated 3 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- An R package to assess feature importance☆33Updated 4 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆32Updated 3 years ago
- R package for Bayesian model averaging☆40Updated 9 months ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago
- R package for distance- and density-based outlier detection☆12Updated 6 years ago
- An R package for efficient variable screening method☆13Updated 9 years ago
- CRAN R package: Impute missing values based on automated variable selection☆16Updated 4 years ago
- R package for weighted model metrics☆11Updated 6 months ago
- Code and slides from a 2016 talk at the Cambridge UK RUG☆16Updated 8 years ago
- Time Series Forecasting Using KNN☆11Updated last year
- Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models☆15Updated 3 years ago
- R package: Manifold learning in R☆13Updated 5 years ago