ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering

Canonical link: https://rscholar.com/pkg/ClusterR

Lampros Mouselimis • Conrad Sanderson • Ryan Curtin • algorithm • propagation algorithm • Vitalie Spinu • View description and downloads View dependencies GitHub project

2016 Published

1.3.3 Version

0 Citations

6 Authors

Referenced by ⇅	Year
ClustImpute: K-Means Clustering with Build-in Missing Data Imputation (Version 0.2.4)	2019
Clustering: Techniques for Evaluating Clustering (Version 1.7.10)	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 1.2.2)	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 1.3.17)	2014
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)	2022
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.10)	2020
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 0.1.1)	2021
tidyclust: A Common API to Clustering (Version 0.2.3)	2022

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