This first example clusters ten American cities based on the flying mileages between them. Six clustering methods are shown with corresponding tree diagrams produced by the TREE procedure. The EML ...

This example uses artificial data containing two clusters. One cluster is from a circular bivariate normal distribution. The other is a ring-shaped cluster that completely surrounds the first cluster.

An important advantage of hierarchical clustering is that it can be applied to a high-dimensional ‘omics’ type data, whereas the use of many other quantitative genetic methods for analysis of ...

Three examples are provided of the use of methods of cluster-analysis. In one case the emphasis is on dividing individuals into a set of clusters, while in the other two cases the emphasis is more on ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

This article is founded on the assumption that cluster analysis can be used to complement regression-based techniques to obtain further improvement in systematic understanding of the nexus of politics ...

Course TopicsCluster analysis is a number of different algorithms and techniques for grouping objects sharing similar characteristics. Researchers in many areas face problems such as how to organize ...

Recently, Ningbo Lanyuan Industrial City Group Co., Ltd. announced that it has obtained a patent titled "Intelligent Industrial Cluster Management System Based on Big Data Analysis ", with the ...