Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that adapts to the user’s way of structuring and thus is intuitively understandable. We extend an existing useradaptive prototype system that is based on a growing self-organizing map and that learns a feature weighting scheme from a ...

The original Self-Organizing Feature Map (SOFM) has been extended in many ways to suit different goals and application domains. However, the topologies of the map lattice that we can found in literature are nearly always square or, more rarely, hexagonal. In this paper we study alternative grid topologies, which are derived from the geometrical theory of tessellations. Experimental results are ...

In this paper we deal with the problem of designing preemptive patrolling itineraries at sea. As a case study we use real data provided by the Portuguese Navy, concerning search and rescue missions. This can be seen as a curve fitting problem in which we aim at predicting future occurrences based on previous reported ones. We propose a method for the design of itineraries based on the use of a ...

Hydrologic regionalization deals with the investigation of homogeneity in watersheds and provides a classification of watersheds for regional analysis. The classification thus obtained can be used as a basis for mapping data from gauged to ungauged sites and can improve extreme event prediction. This paper proposes a wavelet power spectrum (WPS) coupled with the self-organizing map method for c...

the effect of 6-month water storage on microleakage of two-component self-etch adhesive systems      dr. mohammadibasir m .,1 dr. seyed tabaii e .2   1 assistant professor, department of operative dentistry , school of dentistry, shahed university. tehran , iran.   2 dentist.     (received 5 dec, 2010 accepted 14 april, 2011)     abstract     background and aim : simplification of the self-etch...

The objective of this paper is to introduce an efficient algorithm, namely, the mathematically improved learning-self organizing map (MIL-SOM) algorithm, which speeds up the self-organizing map (SOM) training process. In the proposed MIL-SOM algorithm, the weights of Kohonen's SOM are based on the proportional-integral-derivative (PID) controller. Thus, in a typical SOM learning setting, this i...

Brief outlines of exploratory analysis methods (analysis designed to develop hypotheses) from three research projects illustrate the size, scope, variety and increased resolution that are becoming increasingly available at the unit of analysis for research in the learning sciences. The tools and methods applied in these studies are briefly outlined, which enable researchers to deal with complex...

The self-organizing map (SOM) is widely used as a data visualization method especially in various engineering applications. It performs a non-linear mapping from a high-dimensional data space to a lower dimensional visualization space. The SOM can be used for example in correlation detection and cluster visualization in explorative manner. In this paper two tools for reeng the SOM-based visuali...

Collaboration of growing self-organizing maps (GSOM) and adaptive resonance theory maps (ART) is considered through traveling sales-person problems (TSP).The ART is used to parallelize the GSOM: it divides the input space of city positions into subspaces automatically. One GSOM is allocated to each subspace and grows following the input data. After all the GSOMs grow sufficiently they are conne...

Geometric independent component analysis (ICA) uses a weight update rule that is very similar to the self-organizing map (SOM) learning rule in the case of a trivial neighborhood function. In this paper we use this fact and present a new geometric ICA algorithm that uses a SOM for learning. The separation qualiry is better in comparison to other geometric algorithms, but the computational cost ...