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  <title>BibSonomy publications for /bibtex/29b9a2eae063f9ce20f09246484d8db9d/tmalsburg</title>
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  <dc:date>2008-10-12T00:36:58+02:00</dc:date>

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<item rdf:about="http://www.bibsonomy.org/uri/bibtex/29b9a2eae063f9ce20f09246484d8db9d/tmalsburg">
    <title>A unifying measure for neighbourhood preservation in topographic mappings</title>
    <link>http://www.bibsonomy.org/bibtex/29b9a2eae063f9ce20f09246484d8db9d/tmalsburg</link>
    <dc:creator>tmalsburg</dc:creator>
    <dc:date>2008-05-12T14:04:26+02:00</dc:date>
    <dc:subject>dimensionalityreduction mapformation selforganization </dc:subject>
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	      <div class="bmtitle">

  <a href="/documents/a2e78cc6e393184840f444c9c3ec4363"><img alt="PDF" src="/resources/image/document-txt-blue.png" style="float: left;"/></a>
  <a href="http://www.bibsonomy.org/bibtex/29b9a2eae063f9ce20f09246484d8db9d/tmalsburg">A unifying measure for neighbourhood preservation in topographic mappings</a>
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<div class="bmdesc">
  <span style="color:#555555;"> 
    G.J. <a href="http://www.bibsonomy.org/author/Goodhill">Goodhill</a>         	     	 
        	  and S. <a href="http://www.bibsonomy.org/author/Finch">Finch</a>         	     	 
        	  and T.J. <a href="http://www.bibsonomy.org/author/Sejnowski">Sejnowski</a>         	     	 
        	 </span> 
  <em>Proc. 2nd Joint Symp. on Neural Computation</em>
    191--202
  (1995)
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        <a href="http://www.bibsonomy.org/user/tmalsburg/dimensionalityreduction">dimensionalityreduction</a>
        <a href="http://www.bibsonomy.org/user/tmalsburg/mapformation">mapformation</a>
        <a href="http://www.bibsonomy.org/user/tmalsburg/selforganization">selforganization</a>
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        on 2008-05-12 14:04:26 </span></div>
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        <swrc:booktitle>Proc. 2nd Joint Symp. on Neural Computation</swrc:booktitle><swrc:pages>191--202</swrc:pages><swrc:title>{A unifying measure for neighbourhood preservation in topographic mappings}</swrc:title><swrc:year>1995</swrc:year><swrc:keywords>dimensionalityreduction mapformation selforganization </swrc:keywords><swrc:date>2008-05-12 14:04:26.0</swrc:date><swrc:abstract>In this paper, the abstract computational principles underlying topographic maps are discussed. We give a definition of a “perfectly neighbourhood preserving” map, which we call a
topographic homeomorphism, and we prove that this has certain desirable properties. It is argued that when a topographic homeomorphism does not exist (the usual case), many equally
valid choices are available for quantifying the quality of a map. We introduce a particular
measure that encompasses several previous proposals, and discuss its relation to other work.
This formulation of the problem sets it within the well-known class of quadratic assignment
problems.
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