In this talk we discuss some of the main theoretical problems in the understanding of the statistical properties of gravity. By means of N-body simulations we approach the problem of understanding the rôle of gravity in the clustering of a finite set of N-interacting particles which samples a portion of an infinite system. Through the use of the conditional average density, we study the evoluti...

This article focuses on clustering techniques for the analysis of microarray data and discusses contributions and applications for the implementation of intelligent diagnostic systems and therapy design studies. Approaches to validating and visualising expression clustering results and software and other relevant resources to support clustering-based analyses are reviewed. Finally, this paper a...

Clustering geographic data using traditional methods often result in clusters that look dispersed over the geographic space and poorly reflect any underlying spatial structure. We propose a polygon-based spatial clustering approach, which models a spatial object as a polygon with three groups of attributes: general attributes, boundary attributes, and spatial events. We have developed a general...

This paper describes the development of the Cambridge University RT-04 diarisation system, including details of the new segmentation and clustering components. The final system gives a diarisation error rate of 23.9% on the RT-04 evaluation data, a 34% relative improvement over the RT-03s evaluation system. A further reduction down to 18.1% is shown to be possible when using the segmentation al...

So far, we discussed clustering algorithms that involve a hard assignment of each datapoint to a cluster, typically based on its proximity to other points in that cluster. However, simply assigning points to the nearest cluster is not always adequate to capture more complex structure. For example, the lecture slides show an example where one cluster is much larger and less dense than another. W...

In the last decade, the number of logistic service providers located in clusters across Europe has increased substantially. Because location choice models in logistics studies are not able to give a satisfactory explanation for this phenomenon, various spatial economic concepts are studied in this paper. The main purpose is to provide more insight into the selection of economically attractive l...

We present a statistical similarity measuring and clustering tool, SIMFINDER, that organizes small pieces of text from one or multiple documents into tight clusters. By placing highly related text units in the same cluster, SIMFINDER enables a subsequent content selection/generation component to reduce each cluster to a single sentence, either by extraction or by reformulation. We report on imp...

How is numerosity estimation affected by additional structural information in visual displays? Two experiments investigated if the linking of dots by line segments, thereby forming clusters of polygons, leads to an underestimation effect similar to that observed in classical experiments on clustering by spatial proximity. Our findings confirmed such an underestimation effect for non-spatial clu...