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.,...

abstract for evaluation and identification some of the chamomile species in two genera anthemis and matricaria, morphological and phonological characteristics were used. the experiment was conducted in a randomized completely blocks design (rcbd) with three replicates, sixteen quantitative and qualitative traits were evaluated such as plant height, anthodium diameter, receptacle diameter, ligul...

q-mode hierarchical cluster (hca) and principal component analysis (pca) were simultaneously applied to groundwater hydrochemical data from the three times in 2004: june, september, and december, along the ain azel aquifer, algeria, to extract principal factors corresponding to the different sources of variation in the hydrochemistry, with the objective of defining the main controls on the h...

targeted extension for heterogeneous farming systems is a challenge in developing countries. farm type identification and characterization based on estimates of income from different farm components allows simplifying diversity in farming systems. use of multivariate statistical techniques, such as principal component analysis (pca) and cluster analysis (ca), help in such farm typology delineat...

the karnafully is one of the most important rivers due to its profound influence on water chemistry and sediment characteristics. the present study intended to assess the quality of water and sediment from intertidal zone of this river in respect to the pollution index. seasonal water and sediment samples were collected during four seasons (monsoon, post-monsoon, winter, and pre-monsoon) of 201...

. in order to study the variation for seed yield and its components, 200 accessions of alfalfa (medicago sativa l.) were sown as drilled plots, using alpha designs/unreplicated with two repeated entries with in all of 10 blocks under dry land farming system in kabodarahang research station, hamadan, iran, during 2010 to 2011. data were analyzed for descriptive statistics, correlation, regressio...

Clusters are geographically close groups of related companies or institutions related to a certain area which are inherently more efficient than the other companies due to advantages such as being located in one place, networks, external knowledge, variability of human capital, etc. Today, development through clusters plays a pivotal role in the economic and industrial policies of developed...

This paper presents results of an assessment of dominant hydro-geochemical processes controlling groundwater chemical composition, using an integrated application of cluster analysis and factor analysis. The area is located in south of saline playa and in Arak city. Cluster analysis classified samples into two main clusters according to their dominant chemical composition: cluster A (dominant c...

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....

In this paper an application of the cluster analysis technique in educational planning is demonstrated by means of a developed computer software with some characteristics of an expert system. The main idea is based on the knowledge-based systems which have been applied in group technology. The software is applied to weekly schedules of the courses and professors of the Industrial Engineering De...