representative key frames for a video. By analysing the differences between frames and utilising the clustering technique, a set of …

This paper investigates innovative activities, clustering and regional interaction of a group of Information and …

Parameter estimation for model-based clustering using a finite mixture of normal inverse Gaussian (NIG) distributions …

goal is to use the PCA + clustering method to transform the RDI temporal data (1982–2001) and cluster the different regions … indices followed by Clustering that was based on certain eigenchannels resulted from the previous PCA analysis. Both methods …

estimate of the posterior distribution of the clustering of the random-effects parameters, we consider the partition minimizing …

The mixture likelihood approach to clustering is most often used with two-mode two-way data to cluster one of the modes … measured on entities in different situations), an analogous procedure is needed to enable the clustering of the entities (i … situations). In this paper, it is shown that the finite mixture approach to clustering can be extended to analyze three …

updated web sites, such as blogs and news portals. This paper describes a feature-based, local clustering approach for …

In the analysis of bibliometric networks, researchers often use mapping and clustering techniques in a combined fashion …. Typically, however, mapping and clustering techniques that are used together rely on very different ideas and assumptions. We … propose a unified approach to mapping and clustering of bibliometric networks. We show that the VOS mapping technique and a …

cooperation enforcement, for instance, or increases match quality. We argue that, in certain circumstances, network clustering may …

clustering procedure aiming at discovering data structures from a multicriteria perspective by defining a dissimilarity measure … clustering expresses a way of grouping objects according to the preference relation used. A good quality final clustering is … obtained by combining the clusterings generated previously using a clustering ensemble technique. …