sym.umap: UMAP for Symbolic Data

In RSDA: R to Symbolic Data Analysis

UMAP for Symbolic Data

Description

This function applies the UMAP algorithm to a symbolic data table.

Usage

sym.umap(sym.data, ...)

## S3 method for class 'symbolic_tbl'
sym.umap(
  sym.data = NULL,
  config = umap::umap.defaults,
  method = c("naive", "umap-learn"),
  preserve.seed = TRUE,
  ...
)

Arguments

sym.data	symbolic data table
...	list of settings; values overwrite defaults from config; see documentation of umap.default for details about available settings
config	object of class umap.config
method	character, implementation. Available methods are 'naive' (an implementation written in pure R) and 'umap-learn' (requires python package 'umap-learn')
preserve.seed	logical, leave TRUE to insulate external code from randomness within the umap algorithms; set FALSE to allow randomness used in umap algorithms to alter the external random-number generator

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.