Self-Organizing Maps
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
A Survey of Content Based 3D Shape Retrieval Methods (Figure 5)
SMI '04 Proceedings of the Shape Modeling International 2004
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
Shape-based clustering for 3D CAD objects: A comparative study of effectiveness
Computer-Aided Design
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Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for 3D model databases that implements a variety of different feature transforms. Recently, we have enhanced the functionality of our system by integrating a SOM-based visualization module. In this poster demo, we show how 2D maps can be used to improve the effectiveness of retrieval, clustering, and over-viewing tasks in a 3D multimedia system.