Comparison of neural network and cluster analysis techniques for the reliability of high-speed machinery

1995 ◽  
Author(s):  
Colin P. Matthews ◽  
J. Y. Clark ◽  
Paul M. Sharkey ◽  
K. Warwick
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
High Speed ◽  
Analysis Techniques ◽  
And Cluster Analysis

scholarly journals A Computerized Text and Cluster Analysis Approach to Psychotherapy Talk

2020 ◽  
Vol 9 (1) ◽  
pp. 4-25
Author(s):  
Dennis Tay
Keyword(s):  
Cluster Analysis ◽  
Agglomerative Hierarchical Clustering ◽  
Analytic Thinking ◽  
Future Directions ◽  
Analysis Techniques ◽  
Entry Points ◽  
And Cluster Analysis ◽  
Language Styles ◽  
Computer Text ◽  
Qualitative Exploration

This paper illustrates an analytical approach combining LIWC, a computer text-analytic application, with cluster analysis techniques to explore ‘language styles’ in psychotherapy across sessions in time. It categorizes session transcripts into distinct clusters or styles based on linguistic (di)similarity and relates them to sessional progression, thus providing entry points for further qualitative exploration. In the first step, transcripts of four illustrative therapist-client dyads were scored under ten LIWC variables including ‘analytic thinking’, ‘clout’, ‘authenticity’, ‘emotional tone’, and pronoun types. In the next step, agglomerative hierarchical clustering uncovered distinct session clusters that are differently distributed in each dyad. The relationships between these clusters and the chronological progression of sessions were then further discussed in context as contrastive exemplars. Applications, limitations and future directions are highlighted.

Analyzing the "Strategy of Socio-Economic Development of the Chuvash Republic until 2035" content

2021 ◽  
Vol 20 (2) ◽  
pp. 299-324
Author(s):  
Valerii V. SMIRNOV
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Economic Development ◽  
Growth Rates ◽  
Systems Approach ◽  
Cultural Institutions ◽  
Socio Economic Development ◽  
Chuvash Republic ◽  
Number Of Visits ◽  
And Cluster Analysis

Subject. The article addresses a strategy for socio-economic development of the region. Objectives. The purpose is to define contradictions and opportunities to achieve the expected results of the "Strategy of Socio-economic Development of the Chuvash Republic until 2035". Methods. The study rests on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. The statistical analysis of trends in expected outcomes of the Strategy implementation enabled to build a median hierarchy of their growth rates, where the indicator of an increase in the number of visits to cultural institutions is a priority in setting the goals for the region’s development. The neural network analysis demonstrates the importance of the growth rate of real accrued wages of employees of organizations and the insignificant value of the increase in the number of visits to cultural institutions for effective achievement of all objectives of the Strategy. The cluster analysis shows the importance of growth rates of indicators of the proportion of organizations engaged in technological innovations, and the proportion of shipped innovative products. The analysis of growth rates of GRP and expenditures of the consolidated budget of the Chuvash Republic reveals a decrease in the cyclical lag of the first dynamic pattern from the second one. Conclusions. For the Chuvash Republic, a strategic priority is to overcome the GRP growth limit through the innovative development of backbone areas of economic activity.

Weed community structure in spring-seeded crops in Manitoba

1991 ◽  
Vol 71 (4) ◽  
pp. 1069-1080 ◽  
Author(s):  
A. G. Thomas ◽  
M. R. T. Dale
Keyword(s):  
Cluster Analysis ◽  
Community Structure ◽  
Weed Ecology ◽  
Analysis Techniques ◽  
Temperature And Precipitation ◽  
Weed Communities ◽  
Geographic Regions ◽  
Production Practices ◽  
Using Data ◽  
And Cluster Analysis

The phytosociological structure of weed communities in spring wheat, barley, oats, flax, and canola was investigated using data collected during a 3-yr survey of 1384 fields in Manitoba. Fields were surveyed during July and August, after the application of all herbicides. Association and cluster analysis techniques, using the presence or absence of species in a field, were employed to distinguish co-occurring groups of species. Only a small number of significant positive and negative associations were found between species and only minor clusters with a few species were formed at low similarity levels. These results indicated that the weed community was composed of species responding to conditions more or less independently of each other. A comparison of weed associations among the five crops and four geographic regions in the province indicated that the weed community structure was determined largely by climatic variables. The pattern of weed association in the four geographic regions was correlated with differences in temperature and precipitation during the spring and summer. The lack of floristic differentiation was attributed to the fact that production practices were similar for the five spring-seeded crops. Key words: Weed communities, weed ecology, cluster analysis, association analysis

scholarly journals Differential Perceptions Of Auditing Terms

2011 ◽  
Vol 5 (3) ◽  
pp. 20 ◽  
Author(s):  
Pearl Tan ◽  
Hian Chye Koh ◽  
Aik Meng Low
Keyword(s):  
Cluster Analysis ◽  
Group Differences ◽  
Audit Report ◽  
Analysis Techniques ◽  
Dimensional Scaling ◽  
Expectation Gap ◽  
And Cluster Analysis ◽  
Multi Dimensional Scaling

This paper investigates the differences in the relative perceptions of auditing terms among groups of accountants, bankers and students. Perceptual models were constructed using multi-dimensional scaling and cluster analysis techniques. The models derived therefrom indicate that there are no major inter-group differences in the relative perceptions of auditing terms. This study does not therefore support the hypothesis that the expectation gap between users and preparers of the audit report are caused by semantical problems.

Research of neural network algorithm based on factor analysis and cluster analysis

2010 ◽  
Vol 20 (2) ◽  
pp. 297-302 ◽  
Author(s):  
Shifei Ding ◽  
Weikuan Jia ◽  
Chunyang Su ◽  
Liwen Zhang ◽  
Lili Liu
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
And Cluster Analysis

Determining the conditions for sustainable development of the Russian economy

2020 ◽  
Vol 19 (11) ◽  
pp. 2093-2115
Author(s):  
V.V. Smirnov
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Sustainable Development ◽  
Systems Approach ◽  
Political Stability ◽  
Russian Economy ◽  
Globalizing World ◽  
The Neural Network ◽  
Development Goals ◽  
And Cluster Analysis

Subject. The article addresses conditions for sustainable development of the Russian economy. Objectives. The purpose is to link the limit of sustainability of the Russian economy with required conditions. Methods. The study draws on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. I describe scientific ideas about sustainable development of economy, which have been developed in theoretical and practical activities. The World Bank data on environment, social affairs and governance on 17 key sustainable development topics, covering environmental, social and management categories, are used to determine conditions for sustainability of the Russian economy. The neural network analysis of the importance of indicators’ rate of increment shows a hierarchy of priorities. The cluster analysis of indicators’ rate of increment identifies significant clusters. The analysis of key priorities of sustainable development of the Russian economy enables to reveal significant deviations in political stability and in access to electricity. Conclusions. Conditions for sustainable development of the Russian economy are determined by their proximity to the United Nations Sustainable Development Goals. Identifying these conditions in the globalizing world creates an understanding of the real limit and opportunities of the country's development.

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