# OPTICS K-Xi Density-Based Clustering

## Documentation for package ‘opticskxi’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

%$% | Magrittr pipe-with operator
%<>% | Magrittr pipe-assign operator
%>% | Magrittr pipe operator
contingency_table | Contingency table
crohn | Crohn's disease data
ensemble_metrics | Compute ensemble metrics
ensemble_models | Select models based on ensemble metrics
fortify_dimred | Fortify a dimension reduction object
fortify_ica | Get and fortify ICA
fortify_pca | Get and fortify PCA
get_best_kxi | Get best k-Xi model
ggpairs | Plot multiple axes of a data frame or a fortified dimension reduction.
ggplot_kxi_metrics | Ggplot OPTICS k-Xi metrics
ggplot_optics | Ggplot optics
gtable_kxi_profiles | Gtable OPTICS k-Xi distance profiles
hla | The HLA data
multishapes | A dataset containing clusters of multiple shapes
m_psychwords | A dataset containing words by embeddings matrix
nice_palette | Nice palette
opticskxi | OPTICS k-Xi clustering algorithm
opticskxi_pipeline | OPTICS k-Xi models comparison pipeline
print_table | Print table
psych_kxi_ensemble_models | Example pipeline for ensemble models
psych_kxi_pipeline | Example pipeline for mental health natural language processing
residuals_table | Residuals table