elbamos / clusteringdatasets
An R package providing datasets useful for testing clustering algorithms
☆16Updated 6 years ago
Alternatives and similar repositories for clusteringdatasets:
Users that are interested in clusteringdatasets are comparing it to the libraries listed below
- An R package for clustering mixed-type data☆16Updated last year
- ☆13Updated 6 years ago
- Dimension Reduction and Estimation Methods☆52Updated 2 years ago
- Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support☆35Updated 3 months ago
- Conformal prediction in R☆31Updated 5 years ago
- A R package for multi-dimensional data visualization☆10Updated 2 years ago
- A framework for benchmarking clustering algorithms☆36Updated 2 months ago
- Regularized and Pruned Extreme Learning Machines in R☆11Updated 8 years ago
- Kernel k Nearest Neighbors in R☆17Updated 2 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆12Updated last year
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆19Updated last year
- R package for Non-negative Tensor Decomposition☆16Updated 8 months ago
- Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)☆22Updated 2 years ago
- Lag Penalized Weighted Correlation for Time Series Clustering☆20Updated 4 years ago
- SNE Simulation Dataset Functions☆11Updated 4 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- An Internal Validity Index Based on Density-Involved Distance (2019).☆16Updated 2 weeks ago
- Out-of-Core Principal Component Analysis☆18Updated 7 years ago
- A toolbox for sparse contrastive principal component analysis☆12Updated last year
- R package for Empirical Bayes Factor Analysis.☆49Updated last month
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated 5 months ago
- Stray has been renamed fido, development continues at jsilve24/fido☆23Updated 3 years ago
- Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)☆13Updated 2 months ago
- This package is provides a mixture model based approach for deep learning.☆9Updated 2 years ago
- Deep Learning with Metaheuristic☆28Updated 5 years ago
- (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)☆46Updated 7 months ago
- The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estim…☆20Updated last year
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated 5 months ago
- Implements the algorithm form "Sparse logistic principal components analysis for binary data"☆13Updated 11 years ago