Community detection in networks based on modularity maximization is currently done with hierarchical divisive or agglomerative as well as partitioning heuristics, hybrids, and, in a few papers, exact algorithms. We consider here the case of hierarchical networks in which communities should be detected and propose a divisive heuristic which is locally optimal in the sense that each of the succes...

This study aims to compare the performance of each method (hierarchical and non-hierarchical) grouping formed by several HDI from 27 brazilian states, through cluster analysis technique. As well as determining how many states there are in group, thus specify which technique best represents data. Data Atlas Brasil 2013 were used relation 2010 HDI. For analysis, Mahalanobins matrix was with hiera...

â â â  in this research, temporal and spatial behaviors of azores high pressure was studied at the level of 700 hpa. this study has been done using daily data of geopotential height at 12 gmt in ncep/ncar database with spatial resolution of 2.5*2.5 degree in a 55 years period including 20089 days from january, 1st, 1951(dey, 11th, 1329) to december, 31st,2005(dey, 10th,1384). at first, the mean...

MOTIVATION Sampling the conformational space is a fundamental step for both ligand- and structure-based drug design. However, the rational organization of different molecular conformations still remains a challenge. In fact, for drug design applications, the sampling process provides a redundant conformation set whose thorough analysis can be intensive, or even prohibitive. We propose a statist...

Modularity is a popular measure for the quality of a cluster partition. Primarily, its popularity originates from its suitability for community identification through maximization. A lot of algorithms to maximize modularity have been proposed in recent years. Especially agglomerative hierarchical algorithms showed to be fast and find clusterings with high modularity. In this paper we present se...

This work investigated three techniques to automatically cluster a collection of documents: Word-Intersection with GQF, Word-Intersection with hierarchical agglomerative clustering, and TreeClustering. The Word-Intersection algorithms have been previously described in the literature while the TreeClustering technique is novel to this work. The TreeCluster algorithm idea comes from rule inductio...

INTRODUCTION Although people with knee and hip osteoarthritis (OA) seek treatment because of pain, many of these individuals have commonly co-occurring symptoms (for example, fatigue, sleep problems, mood disorders). The purpose of this study was to characterize adults with OA by identifying subgroups with the above comorbid symptoms along with illness burden (a composite measure of somatic sym...