Comprehensive Visualization of Multi-View Relational Data by Self-Organizing Maps
نویسندگان
چکیده
منابع مشابه
Sparse Online Self-Organizing Maps for Large Relational Data
During the last decades, self-organizing maps were proven to be useful tools for exploring data. While the original algorithm was designed for numerical vectors, the data became more and more complex, being frequently too rich to be described by a fixed set of numerical attributes. Several extensions of the original SOM were proposed in the literature for handling kernel or dissimilarity data. ...
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The eeective display of multi-parameter medical image data sets is assuming increasing importance as more distinct imaging modalities are becoming available. For medical purposes, one desirable goal is to fuse such data sets into a single most informative gray-scale image without making rigid classiication decisions. A visualization technique based on a non-linear projection onto a 1-D self-org...
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Title of Dissertation: One-Shot Multi-Winner Self-Organizing Maps Reiner Schulz, Doctor of Philosophy, July 22, 2004 Dissertation directed by: Dr. James Reggia Department of Computer Science There exist two different approaches to self-organizing maps (SOMs). One approach, rooted in theoretical neuroscience, uses SOMs as computational models of biological cortex. The other approach, taken in co...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2018
ISSN: 1347-7986,1881-7203
DOI: 10.3156/jsoft.30.2_525