Intelligent Database Systems Lab
國立雲林科技大學National Yunlin University of Science and Technology
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A Hybrid Supervised ANN for Classification and Data Visualization
Chee Siong Teh and Md. Sarwar Zahan Tapan
Presented by Jun-Yi Wu2010/09/28
2008 IEEE
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Outlines
Motivation Objectives Methodology Experiments Conclusions Comments
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Motivation
ANN usually do not support supervised classification and data visualization simultaneously.
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Objectives
To propose a novel hybrid supervised ANN of Learning Vector Quantization(LVQ) with Adaptive Coordinate (AC) by hybridizing LVQ and modified AC approach.
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I. M.Methodology
A.Learning Vector Quantization(LVQ)
B.Adaptive Coordinates(AC)
C.Modified adaptation criteria of AC
D.LVQ with AC Alogorithm
E.Cost function of LVQ with AC
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I. M.Methodology
Learning Vector Quantization(LVQ)
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Adaptive Coordinates(AC)
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I. M.Methodology
Modified adaptation criteria of AC
The proposed modification of AC is to ensure the integration of AC and LVQ enables the proposed method with data visualization.
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I. M.Methodology
LVQ with AC Alogorithm
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Cost function of LVQ with AC
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I. M.Experiments
A.Visualization evaluation using a 3D synthetic data set
B.Visualization evaluation using WBC data set
C.Visualization evaluation using Wine data set
D.Quantitative evaluation of LVQ with AC’s visualization
E.Classification evaluation
F.Network utilization and dead neuron
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I. M.Experiments Visualization evaluation using a 3D synthetic
data set
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I. M.Experiments
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I. M.Experiments Visualization evaluation using WBC data set
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I. M.Experiments Visualization evaluation using Wine data set
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I. M.Experiments Quantitative evaluation of LVQ with AC’s
visualization
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I. M.Experiments Classification evaluation
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I. M.Experiments Network utilization and dead neuron
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I. M.Conclusion
Empirical studies show that LVQwithAC be able to provide promising classification simultaneously with effective visualizations.
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Comments
Advantages─ map.
Applications─ Classification