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AC- ViSOM : Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization. Md. Sarwar Zahan Tapan , Teh Chee Siong ITSim , 2009 Presented by Hung-Yi Tsai 2011/8/24. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation. - PowerPoint PPT Presentation
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Intelligent Database Systems Lab
國立雲林科技大學National Yunlin University of Science and Technology
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AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization
Md. Sarwar Zahan Tapan, Teh Chee SiongITSim, 2009
Presented by Hung-Yi Tsai2011/8/24
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
2
Outlines· Motivation· Objectives· Methodology· Experiments· Conclusions· Comments
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
3
Motivation
· ViSOM requires a large amount of neurons in the network to effectively represent the data.
· But ViSOM suffer from dead neuron problem.
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
4
Objectives
· To propose a modified Adaptive Coordinate (AC) approach is hybridised with ViSOM to address the above-mentioned issues.
· The basic idea of AC approach is to mirror the movements and locations in the SOM projecting activity.
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
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· SOM
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
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· Visualization induced SOM(ViSOM)
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
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· Adaptive Coordinates(AC)
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
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· AC-ViSOM
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
· 2D Gaussian data set…
Experiments
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Dead Neurons 67.7%
MSE 0.0639
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
· 2D Gaussian data set…
Experiments
10
Dead Neurons 17.5%
MSE 0.0282
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
· 3D synthetic data set…
Experiments
11
Dead Neurons 68.4%
MSE 0.048
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
· 3D synthetic data set…
Experiments
12
Dead Neurons 31.0%
MSE 0.024
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
· Wisconsin Breast Cancer (WBC)..
Experiments
13
Dead Neurons 84.7%
MSE 0.375
Dead Neurons 34.5%
MSE 0.193
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
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Conclusions
· AC-ViSOM is able to minimize the number of dead neurons in the map as well as optimize the data representation.
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
15
Comments
· Advantages─ None.
· Drawbacks─ Some wrong.
· Applications─ Data Visualization in ANN