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tidyclust  

A Common API to Clustering
View on CRAN: Click here


Download and install tidyclust package within the R console
Install from CRAN:
install.packages("tidyclust")

Install from Github:
library("remotes")
install_github("cran/tidyclust")

Install by package version:
library("remotes")
install_version("tidyclust", "0.2.3")



Attach the package and use:
library("tidyclust")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-24
Latest Update: 2024-02-29
Description:
A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
How to cite:
Emil Hvitfeldt (2022). tidyclust: A Common API to Clustering. R package version 0.2.3, https://cran.r-project.org/web/packages/tidyclust. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-11-24 12:50), 0.1.1 (2022-12-20 04:50), 0.1.2 (2023-02-23 09:30), 0.2.0 (2023-09-25 20:20), 0.2.1 (2024-02-29 01:20), 0.2.2 (2024-06-17 19:20)
Other packages that cited tidyclust R package
View tidyclust citation profile
Other R packages that tidyclust depends, imports, suggests or enhances
Complete documentation for tidyclust
Functions, R codes and Examples using the tidyclust R package
Some associated functions: augment . cluster_fit . cluster_metric_set . cluster_spec . control_cluster . convert_helpers . cut_height . details_hier_clust_stats . details_k_means_ClusterR . details_k_means_clustMixType . details_k_means_klaR . details_k_means_stats . dot-hier_clust_fit_stats . dot-k_means_fit_ClusterR . dot-k_means_fit_clustMixType . dot-k_means_fit_klaR . dot-k_means_fit_stats . empty_ellipses . extract-tidyclust . extract_centroids . extract_cluster_assignment . extract_fit_summary . finalize_model_tidyclust . fit . get_centroid_dists . glance.cluster_fit . hier_clust . k_means . knit_engine_docs . linkage_method . list_md_problems . load_pkgs.cluster_spec . make_classes_tidyclust . min_grid.cluster_spec . new_cluster_metric . new_cluster_spec . other_predict . predict.cluster_fit . prep_data_dist . reconcile_clusterings_mapping . reexports . set_args.cluster_spec . set_engine.cluster_spec . set_mode.cluster_spec . silhouette . silhouette_avg . sse_ratio . sse_total . sse_within . sse_within_total . tidy.cluster_fit . tidyclust-package . tidyclust_update . translate_tidyclust . tune_cluster . 
Some associated R codes: aaa.R . append.R . arguments.R . augment.R . cluster_spec.R . compat-purrr.R . control.R . convert_data.R . dials-params.R . engine_docs.R . engines.R . extract.R . extract_centroids.R . extract_cluster_assignment.R . extract_fit_summary.R . extract_parameter_set_dials.R . finalize.R . fit.R . fit_helpers.R . hier_clust.R . hier_clust_data.R . hier_clust_stats.R . k_means.R . k_means_ClusterR.R . k_means_clustMixType.R . k_means_data.R . k_means_klaR.R . k_means_stats.R . load_ns.R . metric-aaa.R . metric-helpers.R . metric-silhouette.R . metric-sse.R . misc.R . model_object_docs.R . predict.R . predict_cluster.R . predict_helpers.R . predict_raw.R . print.R . pull.R . reconcile_clusterings.R . reexports.R . required_pkgs.R . symbol.R . tidy.R . tidyclust-package.R . translate.R . tunable.R . tune_args.R . tune_cluster.R . tune_helpers.R . update.R . zzz.R .  Full tidyclust package functions and examples
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