shadow

A distance object/ a n x n distance matrix.

distdata

idmedoid

idcluster

This function is deprecated, use the <code><a rd-options="" href="/link/csv?package=kmed&version=0.3.0" data-mini-rdoc="kmed::csv">csv</a></code>
function instead.

Algorithms of distance-based k-medoids clustering:
simple and fast k-medoids, ranked k-medoids, and increasing number
of clusters in k-medoids. Calculate distances for mixed variable
data such as Gower, Podani, Wishart, Huang, Harikumar-PV, and
Ahmad-Dey. Cluster validations apply internal and relative
criteria. The internal criteria include silhouette index and
shadow values. The relative criterium applies bootstrap procedure
producing a heatmap with a flexible reordering matrix algorithm
such as ward, complete, or centroid linkages. The cluster result
can be plotted in a marked barplot or pca biplot.

Weksi Budiaji

kmed

Distance-Based K-Medoids

shadow function

This function is deprecated, use the <code><a rd-options='' href='csv'>csv</a></code>
function instead.

shadow: Centroid shadow value (CSV) index of each cluster based on medoid

Description

Usage

Arguments