Public consultation is an essential component of the planning process to achieve
sustainable development. However, there is still a lack of knowledge related to public …

Spatial clustering is a fundamental instrument in modern geo-marketing. The complexity of
handling of high-dimensional and geo-referenced data in the context of distribution networks …

Spatial sciences are confronted with increasing amounts of high-dimensional data. These
data commonly exhibit spatial and temporal dimensions. To explore, extract, and generalize …

Many real-world datasets are of mixed types, having numeric and categorical attributes.
Even though difficult, analyzing mixed-type datasets is important. In this paper, we propose …

Mixed numeric and categorical data are commonly seen nowadays in corporate databases
in which precious patterns may be hidden. Analyzing mixed-type data to extract the hidden …

This paper enhances the visualization and extraction of information on the self-organizing
financial stability map (SOFSM). The SOFSM uses the self-organizing map to represent a …

Digital audio has become an ubiquitously available medium, and for many consumers, it is
the major distribution and storage form of music, accounting for a growing share of record …

In recent years, a variety of visualization techniques for visual data exploration based on self-
organizing maps (SOMs) have been developed. To support users in data exploration tasks …

Collaborative adaptive management (CAM) is an appropriate management regime for social–
ecological systems because it aims to reduce management uncertainties and fosters …

The unique power of the Self-Organizing Map (SOM) lies specifically in the wide range of
visualizations available to support explorative data analysis. However, these are usually …