Cluster analysis or clustering is the task of assigning a set of objects into groups called clusters. Main task of clustering are explorative data mining, and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. Cluster analysis itself is not one specific algorithm, but t...

In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated two clusters. B...

A new method which allows identifying any shape of cluster patterns in case of numerical clustering is proposed. The method is based on the iterative clustering construction utilizing a nearest neighbor distance between clusters to merge. The method differs from other techniques of which the cluster density is determined based on calculating the variance factors. The cluster density proposed he...

heavy metal contamination around the national iranian lead and zinc company (nilz) in zanjan province was evaluated in this paper. collected data were used to appraise the degree of soil contamination and also the source of pollution in the study area based on geoaccumulation index (igeo), and enrichment factor (ef). the levels of fe, zn, cd and pb in the samples exceed those reported in litera...

Since direct experimental evidence is not available, this must be verified through a modeling approach, providedadequate data be available. Many statistical methods are used to study the relation between independent anddependent variables.This research was carried out at the western part of Jazmurian basin tlocated in the southeast ofIran. In this paperused ten physical characteristics such as ...

Multi–particle form factors of local operators in integrable models in two dimensions seem to have the property that they factorize when one subset of the particles in the external states are boosted by a large rapidity with respect to the others. This remarkable property, which goes under the name of form factor clustering, was first observed by Smirnov in the O(3) non–linear σ–model and has s...

introduction the chemical characteristic of groundwater as a major source of water supply for human life is an important factor in determining the usage of it for agriculture, industry and drinking. useful techniques and different methods of studying the chemical composition of groundwater such as correlation coefficient, descriptive statistics, factor analysis and cluster analysis provide an u...