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30 lines
1.5 KiB
HTML
30 lines
1.5 KiB
HTML
<html>
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<head><link rel="stylesheet" type="text/css" href="help.css" /></head>
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<body>
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<h1 class='module'>Cluster Analysis</h1>
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<div class='author'>O. Conrad (c) 2010</div>
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<div class='description'>Cluster Analysis for grids.<br/>
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<br/>
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References:<br/>
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<br/>
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Iterative Minimum Distance:<br/>
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- Forgy, E. (1965):<br/>
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'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',<br/>
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Biometrics 21:768<br/>
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<br/>
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Hill-Climbing:- Rubin, J. (1967):<br/>
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'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',<br/>
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J. Theoretical Biology, 15:103-144<br/>
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<br/>
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</div>
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<h2>Parameters</h2>
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<dl class='parameters'>
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<dt>Table <div class='type'>Input Table</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Attributes <div class='type'>Parameters</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Statistics <div class='type'>Output Table</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Method <div class='type'>Choice</div></dt><dd> <div class='constraints'>Available choices: Iterative Minimum Distance (Forgy 1965), Hill-Climbing (Rubin 1967), Combined Minimum Distance / Hillclimbing</div></dd>
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<dt>Clusters <div class='type'>Integer</div></dt><dd>Number of clusters <div class='constraints'>Minimum: 2.0</div></dd>
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<dt>Normalise <div class='type'>Boolean</div></dt><dd>Automatically normalise grids by standard deviation before clustering. <div class='constraints'></div></dd>
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</dl>
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</body></html>
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