% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/DIscBIO-generic-plotSilhouette.R

\name{plotSilhouette}

\alias{plotSilhouette}

\alias{plotSilhouette,DISCBIO-method}

\title{Silhouette Plot for K-means clustering}

\usage{

plotSilhouette(object, K)

\S4method{plotSilhouette}{DISCBIO}(object, K)

}

\arguments{

\item{object}{\code{DISCBIO} class object.}

\item{K}{A numeric value of the number of clusters}

}

\value{

A silhouette plot

}

\description{

The silhouette provides a representation of how well each point

  is represented by its cluster in comparison to the closest neighboring

  cluster. It computes for each point the difference between the average

  similarity to all points in the same cluster and to all points in the

  closest neighboring cluster. This difference it normalize such that it can

  take values between -1 and 1 with higher values reflecting better

  representation of a point by its cluster.

}