1. Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : Emilio Corchado, Bruno Baruque 2012 NeurCom WeVoS-ViSOM: An ensemble summarization algorithm for enhanced data visualization

2. Intelligent Database Systems Lab Outlines Motivation Objectives Methodology Experiments Conclusions Comments

3. Intelligent Database Systems Lab Motivation Topology-preserving maps are prominent among the great variety of visualization tools for the visualization of multidimensional data sets. The main problem of all the neural network algorithms in general is their relative instability.

4. Intelligent Database Systems Lab Objectives The use of ensembles is one of the most widespread techniques for increasing the stability of classification models. Several algorithms over the same data set and relies on their combined results, rather than in the results of a single execution of the algorithm.

5. Intelligent Database Systems Lab Methodology

6. Intelligent Database Systems Lab Experiments

7. Intelligent Database Systems Lab Experiments

8. Intelligent Database Systems Lab Experiments

9. Intelligent Database Systems Lab Experiments

10. Intelligent Database Systems Lab Experiments

11. Intelligent Database Systems Lab Experiments

12. Intelligent Database Systems Lab Experiments

13. Intelligent Database Systems Lab Experiments

14. Intelligent Database Systems Lab Experiments

15. Intelligent Database Systems Lab Conclusions The WeVoS-ViSOM has obtained lower errors than the WeVoS-SOM, proving to be a very useful tool for data visualization

16. Intelligent Database Systems Lab Comments Advantages - From the above experiments, the WeVos-ViSOM is not a measure results are the best, but it is the most stable way. Applications - Topology-preserving maps