R Package Scholar
16,986
Referenced by ⇅ Year
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.1)

2022
mlr: Machine Learning in R (Version 2.19.1)

2013
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.9)

2020
ClustImpute: K-Means Clustering with Build-in Missing Data Imputation (Version 0.2.4)

2019
Clustering: Techniques for Evaluating Clustering (Version 1.7.7)

2020
FCPS: Fundamental Clustering Problems Suite (Version 1.3.4)

2020
PUGMM: Parsimonious Ultrametric Gaussian Mixture Models (Version 0.1.0)

2024
ScatterDensity: Density Estimation and Visualization of 2D Scatter Plots (Version 0.0.4)

2023
Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data (Version 1.1)

2019
bssn: Birnbaum-Saunders Model (Version 1.0)

2015
butcher: Model Butcher (Version 0.3.4)

2019
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.0.0)

2024
ctpm: Continuous-Time Phylogenetic Modeling (Version 1.0.1)

2021
demu: Optimal Design Emulators via Point Processes (Version 0.3.0)

2018
jackstraw: Statistical Inference for Unsupervised Learning (Version 1.3.9)

2014
nonet: Weighted Average Ensemble without Training Labels (Version 0.4.0)

2018
opGMMassessment: Optimized Automated Gaussian Mixture Assessment (Version 0.4)

2021
patternize: Quantification of Color Pattern Variation (Version 0.0.5)

2017
superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)

2018
text2map: R Tools for Text Matrices, Embeddings, and Networks (Version 0.2.0)

2021
tidybins: Make Tidy Bins (Version 0.1.0)

2021
tidyclust: A Common API to Clustering (Version 0.2.1)

2022

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