the main purpose of this article is to present a clear picture of social bordering of urban space in mashhad and to identify the socio-spatial hierarchy in this city. 17510 resident householders were selected through stratified sampling and they were interviewed. the hierarchical clustering analysis was used to analyze the data, based on three social basic characteristics including occupational...

Hierarchical clustering is a common algorithm in data analysis. It unique among many algorithms that it draws dendrograms based on the distance of under certain metric, and group them. widely used all areas astronomical research, covering various scales from asteroids molecular clouds, to galaxies galaxy cluster. This paper systematically reviews history current status development hierarchical ...

Current multiple kernel clustering algorithms compute a partition with the consensus or graph learned from pre-specified ones, while emerging late fusion methods firstly construct partitions each separately, and then obtain one them. However, both of them directly distill information kernels graphs to matrices, where sudden dimension drop would result in loss advantageous details for clustering...

There is a need to scrutinise and retrieve information from data in today's world. Clustering an analytical technique which involves dividing into groups of similar objects. Every group called cluster, it formed objects that have affinities within the cluster but are significantly different other groups. The aim this paper look at compare two types hierarchical clustering algorithms. Partition ...

The World Wide Web has huge amount of information that is retrieved using information retrieval tool like Search Engine. Page repository of Search Engine contains the web documents downloaded by the crawler. This repository contains variety of web documents from different domains. In this paper, a technique called “Retrieval of Web documents using a fuzzy hierarchical clustering” is being propo...

In Mobile Adhoc Network (MANET), hierarchical network architecture is created for improving the performance parameters like scalability and stability. Clustering is one of the typical hierarchical network structures which groups the geographically adjacent nodes into same cluster. By creating such kind of basic clustering structure, scalability can be improved, but high mobile nodes in the netw...