OPTICS K-Xi Density-Based Clustering

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Documentation for package ‘opticskxi’ version 1.2.1

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

Help Pages

%$%	Exposition pipe
%<>%	Assignment pipe
%>%	Pipe
contingency_table	Contingency table
cosine_simi	Cosine similarity between vectors and/or matrices.
crohn	Crohn's disease data
dist_matrix	dist_matrix
ensemble_metrics	Compute ensemble metrics
ensemble_metrics_bootstrap	Select models based on ensemble metrics
ensemble_models	Select best 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_psych_embeds	A dataset containing the embeddings matrix of psychological related words
nice_palette	Nice palette
normalize	Matrix normalization
norm_inprod	norm_inprod
opticskxi	OPTICS k-Xi clustering algorithm
opticskxi_pipeline	OPTICS k-Xi models comparison pipeline
print_vignette_table	Print vignette table
residuals_table	Residuals table
stddev_mean	stddev_mean