Computer Science PhD
Docteur en Informatique
NEWS:
CFP: ICNNAI-2010 Special Session : Incremental Topological Learning Models and Dimensional Reduction == Submissions Due: April 4, 2010
I made my PhD at LIPN, Paris 13 University under the supervision of Pr. Younès Bennani
Thesis title: "Weighted Topological Clustering: Modular, Hybrid and Collaborative approaches
Here you will find a video which shows our proposed Content-based image retrieval System:
This system uses the Weighted Topological Learning on a multimedia library (wikipedia images). It is based on my proposed topological methods and uses a clustering fusion technique (Relational Analysis) which allows to choose the best map. It allows a quick browsing of a images dataset and images searching.
More detailled video is Here.
This approach uses the Weighted Self-Organizing principle and builds a 3D (hierarchical) view of images.
For further informations about this System contact me at Nistor.Grozavu [@] lipn.univ-paris13.fr
Research interests:
- Machine Learning :
- Unsupervised learning;
- Memory & Learning;
- Incremental Learning;
- Active Learning;
- Topological Learning;
- Data Minig:
- Clustering and Visualisation: Self Organizing Maps;
- Clustering Fusion;
- Collaborative Clustering;
- Clustering analysis;
- Causality in Data Mining and Machine Learning
From all these topics, one of my recent works was the clustering analysis using topological learning/clustering and variables selection/detection. Here, an example of the clustering characterization/analysis on the waveform dataset (varaibles 1-19 -relevant variables; 20-40 are noisy variables):
Another interesting topic is the topological clustering collaboration or distributed clustering which I developed using the topological clustering (SOM):
SOM Map:
Images SOM Map:
