find_knee_point

Simple knee point detection using the maximum curvature method

Implementation of Graph Signal Processing (GSP) methods including Spectral
Graph Wavelet Transform (SGWT) for analyzing spatial patterns in biological data.
Based on Hammond, Vandergheynst, and Gribonval (2011) <doi:10.1016/j.acha.2010.04.005>. Provides tools for multi-scale analysis of biology spatial signals, including forward and inverse transforms, energy analysis, and visualization functions tailored for biological applications. Biological application example is on Stephanie, Yao, Yuzhou (2024) <doi:10.1101/2024.12.20.629650>.

Yuzhou Chang

BioGSP

Biological Graph Signal Processing for Spatial Data Analysis

find_knee_point function

<dl><dt>y</dt>
<dd>Numeric vector of y values</dd>
<dt>sensitivity</dt>
<dd>Sensitivity parameter (not used in this simple implementation)</dd></dl>

Arguments

Find knee point in a curve — find_knee_point

<dl>

<dt>y</dt>
<dd>Numeric vector of y values</dd>


<dt>sensitivity</dt>
<dd>Sensitivity parameter (not used in this simple implementation)</dd>

</dl>

find_knee_point: Find knee point in a curve

Description

Usage

Value

Arguments

Examples