computeSimilarityMatrix

Given a list of objects and a function which computes a similarity
measure between two objects of the list, <code>computeSimilarity</code> returns a
similarity matrix.

Algorithms to approximate the Pareto-front of multi-criteria minimum spanning tree problems.

Jakob Bossek

mcMST

A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem

computeSimilarityMatrix function

<dl><dt>set</dt>
<dd>[<code>list</code>] 
List of objects.</dd>
<dt>sim.fun</dt>
<dd>[<code>function(x, y, ...)</code>] 
Function which expects two objects <code>x</code> and <code>y</code> as first and second
arguments and returns a scalar value.</dd>
<dt>...</dt>
<dd>[any] 
Passed down to <code>sim.fun</code>.</dd></dl>

Arguments

Compute similarity matrix. — computeSimilarityMatrix

<dl>

<dt>set</dt>
<dd>[<code>list</code>] 
List of objects.</dd>


<dt>sim.fun</dt>
<dd>[<code>function(x, y, ...)</code>] 
Function which expects two objects <code>x</code> and <code>y</code> as first and second
arguments and returns a scalar value.</dd>


<dt>...</dt>
<dd>[any] 
Passed down to <code>sim.fun</code>.</dd>

</dl>

computeSimilarityMatrix: Compute similarity matrix.

Description

Usage

Value

Arguments