find_low_dens_hex

This function identifies hexagons with low density based on the mean density
of their neighboring hexagons.

To construct a model in 2-D space from 2-D nonlinear
dimension reduction data and then lift it to the high-dimensional
space. Additionally, provides tools to visualise the model overlay the
data in 2-D and high-dimensional space. Furthermore, provides
summaries and diagnostics to evaluate the nonlinear dimension
reduction layout.

Jayani P. G. Lakshika

quollr

Visualising How Nonlinear Dimension Reduction Warps Your Data

Jayani P. Gamage

Dianne Cook

Paul Harrison

Michael Lydeamore

Thiyanga S. Talagala

find_low_dens_hex function

<dl><dt>model_2d</dt>
<dd>The tibble that contains all hexagonal bin centroids.</dd>
<dt>b1</dt>
<dd>Number of bins along the x-axis for hexagon binning.</dd>
<dt>md_thresh</dt>
<dd>A numeric value that contains the threshold for mean density.</dd></dl>

Arguments

Find low-density Hexagons — find_low_dens_hex

<dl>

<dt>model_2d</dt>
<dd>The tibble that contains all hexagonal bin centroids.</dd>


<dt>b1</dt>
<dd>Number of bins along the x-axis for hexagon binning.</dd>


<dt>md_thresh</dt>
<dd>A numeric value that contains the threshold for mean density.</dd>

</dl>

find_low_dens_hex: Find low-density Hexagons

Description

Usage

Value

Arguments

Examples