get_mknn_dist

Given a dataset and a value k, will return the value of the
average distance from each point to it's k-nearest neighbor

Implementations several algorithms for kernel k-means. The default
'OTQT' algorithm is a fast alternative to standard implementations of kernel
k-means, particularly in cases with many clusters. For a small number of
clusters, the implemented 'MacQueen' method typically performs the fastest. For
more details and performance evaluations, see Berlinski and Maitra (2025) <doi:10.1002/sam.70032>.

Josh Berlinski

kkmeans

Fast Implementations of Kernel K-Means

get_mknn_dist function

<dl><dt>data</dt>
<dd>the data vector</dd>
<dt>k</dt>
<dd>which neighbor to average over</dd></dl>

Arguments

Get the average distance to each points k-nearest neighbor — get_mknn_dist

<dl>

<dt>data</dt>
<dd>the data vector</dd>


<dt>k</dt>
<dd>which neighbor to average over</dd>

</dl>

get_mknn_dist: Get the average distance to each points k-nearest neighbor

Description

Usage

Value

Arguments