objective: this article presents an application of cluster analysis for social sciences researches especially those studies that have an interview as part of their data collection. this application is more suitable for sequential mixed method researchers who use quantitative data to frame subsequent qualitative subsamples for conducting interviews.  methods: in more detail, the algorithm (i.e.,...

the aim of this study was to assess the environmental impact of socio-cultural practices on the water quality of river ganga at the foothills of the garhwal himalayas in uttarakhand state, india. the physico-chemical parameters that contributed to the temporal variation and pollution in the river were identified in this study. principal component analysis (pca) and cluster analysis (ca) were us...

this paper presents results of hydro-chemical processes controlling groundwater chemical composition, using an integrated application of hierarchical cluster analysis and factor analysis of a major ion data set of groundwater from mighan playa aquifer. cluster analysis classified samples into four clusters(a, b, c and d) according to their dominant chemical composition: cluster a (dominant comp...

genetic  diversity  is  the  basis  of  the  natural  evolution  of  plant  breeding  and  biological  system  are  important  components  of  sustainability. the aim of this study was to evaluate 116 genotypes of triticum turgidum from seven countries in terms of morphological traits. the results showed that high significant differences among the genotypes. the correlation between grain yield ...