A Common API to Clustering
Augment data with predictions
Model Fit Object Information
Combine metric functions
Model Specification Information
Control the fit function
Helper functions to convert between formula and matrix interface
Cut Height
Hierarchical (Agglomerative) Clustering via stats
K-means via ClusterR
K-means via clustMixType
K-means via klaR
K-means via stats
Simple Wrapper around hclust function
Simple Wrapper around ClusterR kmeans
Simple Wrapper around clustMixType kmeans
Simple Wrapper around klaR kmeans
Simple Wrapper around stats kmeans
Get colors for tidyclust text.
Extract clusters from model
Extract cluster assignments from model
S3 method to get fitted model summary info depending on engine
Extract elements of a tidyclust model object
Splice final parameters into objects
Fit a Model Specification to a Data Set
Computes distance from observations to centroids
Construct a single row summary "glance" of a model, fit, or other obje...
Hierarchical (Agglomerative) Clustering
K-Means
Knit engine-specific documentation
The agglomeration Linkage method
Locate and show errors/warnings in engine-specific documentation
Quietly load package namespace
Prepend a new class
Determine the minimum set of model fits
Construct a new clustering metric function
Functions required for tidyclust-adjacent packages
Other predict methods.
Model predictions
Prepares data and distance matrices for metric calculation
Relabels clusters to match another cluster assignment
Objects exported from other packages
Change arguments of a cluster specification
Change engine of a cluster specification
Change mode of a cluster specification
Measures average silhouette across all observations
Measures silhouette between clusters
Compute the ratio of the WSS to the total SSE
Compute the total sum of squares
Compute the sum of within-cluster SSE
Calculates Sum of Squared Error in each cluster
Turn a tidyclust model object into a tidy tibble
Update a cluster specification
tidyclust: A Common API to Clustering
Resolve a Model Specification for a Computational Engine
Model tuning via grid search
A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
Useful links