clustering analysis

Accurate identification of factors affecting product quality can lead to improved production processes, reduced waste, increased productivity, and ultimately improved customer satisfaction. This study aimed to identify factors affecting the quality of industrial products and analyze the relationships between these factors using data mining and clustering techniques. Data related to the industrial production process, including variables such as raw material purity, machine error rate, temperature, pressure, production speed, and human experience, were simulated and preprocessed. K-Means, hierarchical clustering, and DBSCAN algorithms were used to analyze the data. The results showed that raw material purity, machine error rate, and temperature are among the most important factors affecting product quality. Also, clusters with high raw material purity (>95%) and machine error rate less than 2% showed the best quality, while clusters with low purity and high production speed had poor quality. This research provides a comprehensive model for analyzing and optimizing the quality of industrial products that can be used in various industries such as automotive, pharmaceutical, and food industries

In recent years،Internet-based banking services have become the focus of competition in Iran’s banking system. In this respect، Internet banking users’ identification and segmentation leads to better understanding of users’ needs and expectations and planning to meet them. This in turn will result in improving the image of the bank and obtaining competitive advantage. In this research، seven banks of Pasargad، Mellat، Parsian، Saman، Eghtesad-e-novin، Tejarat and Melli are selected as rival brands. According to scrutiny، the expectations of internet banking users were identified in the form of 17 indicators. Using closed questionnaires، necessary data was collected from 274 users of Internet banking services in selected banks. At the first stage، based on exploratory factor analysis، five factors were identified which include: ease of use، variety of e-banking services، security، speed of providing services and reliability. In the second stage، by applying k-means procedure، optimum number of clusters was detected equal to 6. Then the expectations of each cluster were evaluated. The result showed that the average of expectations and frequency of demographic variables between clusters are different. So the extracted clusters have good quality.

Target all the planning, to achieve optimal development and balance, and the first step in any planning process, including the regional planning in particular, understand that this situation is identified, require separate study area to areas of planning and evaluation of each area by index development (economic, social, cultural, health and ....) and analyze and ranking each area in terms of development is having. Process of development the Kurdistan and its infrastructures, the poor and concentration planning of the past, development balance in the level of rural areas is difficult. In order to solve problems caused by lack of balance, first step recognition and classification level of villages form part of the political divisions (in terms of having educational - cultural, infrastructure and communications, spatial - physical, health  , economy and services ...) and the next step is providing good policy, to establish balance .

In the present study, a combination of the methods of procedure documentation, analytical. This study used 18 statistical indicators   in 5 district - cultural, infrastructure and communications, space - physical, health, economy and services active , especially in rural areas of Kurdistan 26 section , were studied. And analysis techniques of statistical Z-score and clustering analysis.

Based on research findings, the development level of Kurdistan sections, differences and inequality, there is, so that rural areas in seven sections (developed), seven section (partly developed), six sector-level (less developed) at the level of six section are excluded. Therefore is recommended to resolve imbalances, priority planning and investment sectors deprived rural areas (Alvt, Srshyv Marivan, Zyvyh, Nnvr, Nmh milk).