List of Articles cluster analysis

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  1 - Applying data mining techniques to regions segmentation for entrance exams to governmental universities
  نرجس سرعتی آَشتیانی somayyeh alizadeh علی  مبصّـری
  The large numbers of Iranian high school graduates are willing to enter in governmental and popular colleges and compete for it. On the other hand, these graduate students are from various regions with different levels of access to facilities. In opinion of directors of More

  The large numbers of Iranian high school graduates are willing to enter in governmental and popular colleges and compete for it. On the other hand, these graduate students are from various regions with different levels of access to facilities. In opinion of directors of relevant agencies, the quota allocation solves this problem and they are looking to use the knowledge hidden in the data are available in this area.By this way volunteers from each region are compared together and managers are helped to allocate proper quota to related students in regions of each segment. In recent years, quota allocation was determined by Taxonomy that its result is a kind of ranking that does not allow group analyzing and identifies number of region theoretically. To solve this problem clustering is a good strategy. This study is carried out by using data mining techniques and Crisp methods on related dataset from education ministry, interior ministry, ministry of health, and center of statistic and evaluation organization for the first time. After extracting of effective attributes in this area, data preparation, data reduction and combination of attributes using Factor Analysis have done.in next step, by using K-means algorithm, similar items assign in to a cluster that has the minimum distance with centroid mean and then by using neural networks and decision trees, new item can be devoted to each cluster. Finally for assessing created models, accuracy of outputs compared with other methods. Outcomes of this research are: determining the optimal number of sectors, segmenting regions, analyzing each section, extracting decision rules, predicting class labels for new areas faster and more accurately, allowing the appropriate strategies formulation for each section Manuscript profile
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  2 - The analysis of effects of heat stress on citizenships of Tehran
       
  Exposure to heat and heat stress that most people encounter during daily activities or activities in the workplace will have an impact on human physical activity. The aim of this study was to discuss the effects of heat stress in the 22 districts on citizenships of Tehr More

  Exposure to heat and heat stress that most people encounter during daily activities or activities in the workplace will have an impact on human physical activity. The aim of this study was to discuss the effects of heat stress in the 22 districts on citizenships of Tehran. For this purpose, the questionnaire data has been used. This research was descriptive and fieldwork was done and a questionnaire was used for data collection. This questionnaire was performed according to a sample size of 385 cases and through using Cochran's formula. For analysis the data of questionnaire was used SPSS and MATLAB software. The findings of descriptive showed that 60% of the respondents were female and 40% men. Since weight has almost direct connection to heat stress, the evaluation of the weight class diversity can be almost suitable for the analysis of the factors and mental responses of heat stress on citizenships of Tehran. Based on this issue, 32.7% have a weight between 55 and 65 and 29.09% have weight more than 75 kg. In order to analysis, the role of heat stress on citizenships of Tehran factor analysis and cluster analysis have been used. The results indicated that based on factor analysis, heat stress has the most effects on the calm of soul and spirit, fatigue and heatstroke and decreased activity and increased transpiration of the body, cramps, pulmonary and heart disease. According to cluster analysis, cardio pulmonary disease and cramps, the calm of soul and spirit and fatigue, dizziness, heatstroke and decreased activity and increased transpiration have been affected respectively. The study showed that the effects of heat stress on gender, type of occupation, marriage, celibacy, male and female and there is a significant relationship between heat stress and gender, occupation and age while marital, celibacy and weight don't have influence on heat stress. Manuscript profile
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  3 - Investigating the behavior of bank customers after the merger of branches with the development of a cluster analysis model; Case Study: Mellat Bank
  رضا قسمتی
  The emergence and expansion of new service channels in banks, the large number of branches in the service network of banks, and the high cost of the branch, on the one hand, led the banks to reduce the number of branches and the integration of smaller branches in other More

  The emergence and expansion of new service channels in banks, the large number of branches in the service network of banks, and the high cost of the branch, on the one hand, led the banks to reduce the number of branches and the integration of smaller branches in other branches, but factors such as the loss of customers , Brand coverage, social security deprivation, etc., have created considerations for banks in integrating branches. In this paper, a comprehensive overview of the literature on mergers of bank branches and similar issues was first discussed and influential variables were identified in the problem. Then, the behavior of customers influenced by the merger of branches as one of the key variables affecting the problem has been investigated. For this purpose, a five-step model has been developed in this paper, with its main core of cluster analysis techniques. Finally, in order to demonstrate the effectiveness and applicability of the developed model, a case study of Mellat branches has been used in the country. Manuscript profile
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  4 - Estimation of formation water saturation using cluster analysis, piecewise nonlinear regression and Monte Carlo simulation in a carbonate reservoir, south-west Iran
  Hadi Fattahi zahra Varmazyari Mostafa Yosefi rad
  Estimation of formation water saturation (Sw) using log data is an important approach in the oil exploration and characterization of a hydrocarbon reservoir. Therefore, it seems that the proper prediction/simulation of Sw is essential. The first objective of this study More

  Estimation of formation water saturation (Sw) using log data is an important approach in the oil exploration and characterization of a hydrocarbon reservoir. Therefore, it seems that the proper prediction/simulation of Sw is essential. The first objective of this study was to develop a predictive model for Sw estimation based on hybrid cluster analysis with piecewise nonlinear regression, and after that, using the developed model, Sw was simulated by the Monte Carlo simulation (MCS). In order to achieve objectives of this study, a group of 909 data points was used for model construction and 302 data points were employed for assessment of model. The obtained results of MCS modeling indicated that this approach is capable of simulating Sw ranges with a good level of accuracy. The mean of simulated Sw by MCS was obtained as 0.28 m, while this value was achieved as 0.29 m for the measured one. Furthermore, a sensitivity analysis was also conducted to investigate the effects of model inputs on the output of the system. The analysis demonstrated that RHOB is the most influential parameter on Sw among all model inputs. It is noticeable that the proposed hybrid cluster analysis with piecewise nonlinear regression and MCS models should be utilized only in the studied area and the direct use of them in the other conditions is not recommended. Manuscript profile