Package: ClusterR 1.3.3
ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Authors:
ClusterR_1.3.3.tar.gz
ClusterR_1.3.3.zip(r-4.5)ClusterR_1.3.3.zip(r-4.4)ClusterR_1.3.3.zip(r-4.3)
ClusterR_1.3.3.tgz(r-4.4-x86_64)ClusterR_1.3.3.tgz(r-4.4-arm64)ClusterR_1.3.3.tgz(r-4.3-x86_64)ClusterR_1.3.3.tgz(r-4.3-arm64)
ClusterR_1.3.3.tar.gz(r-4.5-noble)ClusterR_1.3.3.tar.gz(r-4.4-noble)
ClusterR_1.3.3.tgz(r-4.4-emscripten)ClusterR_1.3.3.tgz(r-4.3-emscripten)
ClusterR.pdf |ClusterR.html✨
ClusterR/json (API)
NEWS
# Install 'ClusterR' in R: |
install.packages('ClusterR', repos = c('https://mlampros.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlampros/clusterr/issues
- dietary_survey_IBS - Synthetic data using a dietary survey of patients with irritable bowel syndrome
- mushroom - The mushroom data
- soybean - The soybean (large) data set from the UCI repository
affinity-propagationcpp11gmmkmeanskmedoids-clusteringmini-batch-kmeansrcpparmadillo
Last updated 5 months agofrom:4607a5c9d4. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win-x86_64 | OK | Nov 16 2024 |
R-4.5-linux-x86_64 | OK | Nov 16 2024 |
R-4.4-win-x86_64 | OK | Nov 16 2024 |
R-4.4-mac-x86_64 | OK | Nov 16 2024 |
R-4.4-mac-aarch64 | OK | Nov 16 2024 |
R-4.3-win-x86_64 | OK | Nov 16 2024 |
R-4.3-mac-x86_64 | OK | Nov 16 2024 |
R-4.3-mac-aarch64 | OK | Nov 16 2024 |
Exports:AP_affinity_propagationAP_preferenceRangecenter_scaleClara_MedoidsCluster_Medoidscost_clusters_from_dissim_medoidsdistance_matrixexternal_validationGMMKMeans_armaKMeans_rcppMiniBatchKmeansOptimal_Clusters_GMMOptimal_Clusters_KMeansOptimal_Clusters_Medoidsplot_2dpredict_GMMpredict_KMeanspredict_MBatchKMeanspredict_MedoidsSilhouette_Dissimilarity_Plotsilhouette_of_clusters
Dependencies:clicolorspacefansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr