projectToIndex_cpp

Finds the nearest sample in the MDS embedded space for each medoid coordinate,
while enforcing a one-to-one mapping between medoids and samples (no duplicates).

internal

Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.

Chenan Huang

WOAkMedoids

Whale Optimization Algorithm for K-Medoids Clustering

Narumasa Tsutsumida

projectToIndex_cpp function

<dl><dt>medoid_coords</dt>
<dd>NumericMatrix of medoid coordinates in MDS space (ClusNum x mds_dim)</dd>
<dt>Z</dt>
<dd>NumericMatrix of sample coordinates in MDS space (nrows x mds_dim)</dd></dl>

Arguments

Project MDS coordinates to nearest unique sample indices — projectToIndex_cpp

<dl>

<dt>medoid_coords</dt>
<dd>NumericMatrix of medoid coordinates in MDS space (ClusNum x mds_dim)</dd>


<dt>Z</dt>
<dd>NumericMatrix of sample coordinates in MDS space (nrows x mds_dim)</dd>

</dl>

projectToIndex_cpp: Project MDS coordinates to nearest unique sample indices

Description

Usage

Value

Arguments