QGIS/python/plugins/sextante/saga/help/ClusterAnalysisforGrids.html

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<h1 class='module'>Cluster Analysis for Grids</h1>
<div class='author'>O.Conrad (c) 2001</div>
<div class='description'>Cluster Analysis for grids.<br/>
<br/>
References:<br/>
<br/>
Iterative Minimum Distance:<br/>
- Forgy, E. (1965):<br/>
'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',<br/>
Biometrics 21:768<br/>
<br/>
Hill-Climbing:- Rubin, J. (1967):<br/>
'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',<br/>
J. Theoretical Biology, 15:103-144<br/>
<br/>
</div>
<h2>Parameters</h2>
<dl class='parameters'>
<dt>Grid system <div class='type'>Grid system</div></dt><dd>Grid system <div class='constraints'></div></dd>
<dt>Grids <div class='type'>Input Grid list</div></dt><dd> <div class='constraints'></div></dd>
<dt>Clusters <div class='type'>Output Grid</div></dt><dd> <div class='constraints'></div></dd>
<dt>Statistics <div class='type'>Output Table</div></dt><dd> <div class='constraints'></div></dd>
<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>
<dt>Clusters <div class='type'>Integer</div></dt><dd>Number of clusters <div class='constraints'>Minimum: 2.0</div></dd>
<dt>Normalise <div class='type'>Boolean</div></dt><dd>Automatically normalise grids by standard deviation before clustering. <div class='constraints'></div></dd>
<dt>Old Version <div class='type'>Boolean</div></dt><dd>slower but memory saving <div class='constraints'></div></dd>
<dt>Update View <div class='type'>Boolean</div></dt><dd> <div class='constraints'></div></dd>
</dl>
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