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Intelligent Database Systems Lab Presenter: WU, JHEN-WEI Authors: Jorge Gorricha, Victor Lobo 2012. CG Improvements on the visualization of clusters in geo-referenced data using Self-Organizing Maps
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Intelligent Database Systems Lab Outlines Motivation Objectives Methodology Experiments Conclusions Comments 2
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Intelligent Database Systems Lab Motivation Try to include in the cartographic map some information retrieved from input data space. To visualize spatial data, in some particular cases, using previous approaches export the result which some clusters remain undifferentiated. 3
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Intelligent Database Systems Lab Objectives Improvements on the visualization of high dimensional geo-referenced data. 4
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Intelligent Database Systems Lab Methodology 5
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Intelligent Database Systems Lab 6 Methodology
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Intelligent Database Systems Lab Experiments - Artificial Data 7
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Intelligent Database Systems Lab 8 Experiments - Artificial Data
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Intelligent Database Systems Lab 9 Experiments - Artificial Data
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Intelligent Database Systems Lab 10 Experiments - Artificial Data
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Intelligent Database Systems Lab 11 Experiments - Lisbon
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Intelligent Database Systems Lab 12 Experiments - Madeira Island
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Intelligent Database Systems Lab 13 Experiments - Madeira Island
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Intelligent Database Systems Lab Conclusions An increase in the clustering quality. An unresolved problem that needs to be addressed. 14
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Intelligent Database Systems Lab Comments Advantages – An increase in the clustering quality. Applications – Cluster and visualize geo-referenced data. 15
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