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<title>Description of imagedesc2clusters</title>
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<h1>imagedesc2clusters
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Assignment of descriptors to clusters.</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function desc2 = imagedesc2clusters( desc, clusters, csigma ) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Assignment of descriptors to clusters.
For each descriptor desci (1xp vector), assigns desci to the closest cluster in
clusters. desc2i is thus a scalar that indicates the cluster membership of desci, or a
1xnclusters vector which is the result of a soft assign of desc1 to clusters (see
softmin for more information).
Note that imagedesc may have already called this function, if so make sure not to call
it again.
INPUTS
desc - nxp array of n p-dimensional descriptors
nxpxr array of n p-dimensional descriptors, r jittered versions of each
clusters - nclusters x p array of cluster centers
csigma - [optional] soft assign to clusters, see softmin
OUTPUTS
desc2 - nxp array of cluster memberships (p==1 if csigma not given)
See also SOFTMIN</pre></div>
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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="jitter_dist.html" class="code" title="function D = jitter_dist( desc1, desc2, distfun )">jitter_dist</a> Calculates the minumum distance between two sets of possibly 'jittered' feature vectors.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="imagedesc.html" class="code" title="function desc = imagedesc( I, imdesc, show )">imagedesc</a> Runs descriptor on a set of images, optionally jitters, and optionally applies PCA.</li><li><a href="../recognition/recog_clipsdesc.html" class="code" title="function data = recog_clipsdesc( DATASETS, clusters, csigma )">recog_clipsdesc</a> Create descriptor of every clip.</li></ul>
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<hr><address>Generated on Tue 11-Oct-2005 20:31:02 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/" target="_parent">m2html</a></strong> © 2005</address>
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