Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 AC-ViSOM: Hybridising the Modified Adaptive Coordinate.

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Presentation transcript:

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 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

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 5  SOM

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 6  Visualization induced SOM(ViSOM)

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 7  Adaptive Coordinates(AC)

Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 8  AC-ViSOM

Intelligent Database Systems Lab N.Y.U.S.T. I. M.  2D Gaussian data set… Experiments 9 Dead Neurons 67.7% MSE

Intelligent Database Systems Lab N.Y.U.S.T. I. M.  2D Gaussian data set… Experiments 10 Dead Neurons 17.5% MSE

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 Dead Neurons 34.5% MSE 0.193

Intelligent Database Systems Lab N.Y.U.S.T. I. M. 14 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