Exploratory Study of the Clinical Phenotype of Airways Disease by Different Cluster Analysis Methods

CHEST Journal ◽  
2016 ◽  
Vol 149 (4) ◽  
pp. A395
Author(s):  
Pu Ning ◽  
Yanfei Guo
Keyword(s):  
Cluster Analysis ◽  
Exploratory Study ◽  
Clinical Phenotype ◽  
Analysis Methods

Embracing the Digital Humanities

2019 ◽  
pp. 143-216
Author(s):  
Edward Slingerland
Keyword(s):  
Cluster Analysis ◽  
Qualitative Analysis ◽  
Hierarchical Cluster Analysis ◽  
Topic Modeling ◽  
Digital Humanities ◽  
Textual Analysis ◽  
Hierarchical Cluster ◽  
Analysis Methods ◽  
Online Databases

This chapter argues that, now that we have the texts of our traditions in fully searchable, digitized form, we can begin to read them in new ways. Basic quantitative textual analysis methods are introduced, as well as more sophisticated methods such as word collocation, hierarchical cluster analysis, and topic modeling. The use of online databases to share scholarly knowledge is also explored. Although digital humanities techniques have thus far been of only marginal use, their potential is huge, and they can provide entirely new and important perspectives on our corpora. Quantitative textual analysis of the early Chinese corpus confirms and deepens the conclusion from qualitative analysis that the early Chinese were mind-body dualists.

On the polysemy of the Polish complete path construction: A corpus-based exploratory study

2019 ◽  
Vol 55 (4) ◽  
pp. 631-670
Author(s):  
Daria Bębeniec ◽  
Małgorzata Cudna
Keyword(s):  
Cluster Analysis ◽  
Random Sample ◽  
Exploratory Study ◽  
Semantic Features ◽  
Hierarchical Agglomerative Cluster ◽  
Usage Patterns ◽  
Complete Path ◽  
Hierarchical Agglomerative Cluster Analysis ◽  
National Corpus

Abstract In this article, we present a corpus-based analysis of two major types of the Polish Complete Path (CP) construction in which a source-PP, headed by od+GEN, is immediately followed by a goal-PP, headed by do+GEN or po+ACC, as in od jesieni 1920 do jesieni 1921 ‘from autumn 1920 to autumn 1921’ and od kreskówek po rysunki techniczne ‘from cartoons to technical drawings’. The aim of the study is to shed some light on the polysemous structure of the CP construction on the basis of its usage patterns. To this end, we used a random sample of over 500 instances of both construction types retrieved from the National Corpus of Polish. The data were annotated for a number formal and semantic features and subsequently explored using hierarchical agglomerative cluster analysis. When interpreting the results of several analyses performed on different sets of variables, we gave special attention to three levels of semantic granularity encoded in the data, concluding that, on the whole, all analyses point towards a distinction between the spatial, temporal and abstract meanings of the construction under investigation.

Application and Research of Systematic Cluster in IED Switch Online Condition Monitoring

2014 ◽  
Vol 672-674 ◽  
pp. 2041-2047
Author(s):  
Kai Ma ◽  
Chun Chao Hu ◽  
Shan Qiang Feng ◽  
Shu Feng Tan ◽  
Xu Jiang ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Control System ◽  
Condition Monitoring ◽  
Cluster Algorithm ◽  
Data Matrix ◽  
Online Information ◽  
Analysis Methods ◽  
Systematic Cluster ◽  
Smart Substation ◽  
Degree Matrix

This paper investigates the application of systematic cluster, one of the cluster analysis methods, in the IED switch online condition monitoring. So far, problems still exsit in the IED switch online condition monitoring based on the control system of smart substation. In order to figure out a relatively stable online model and make classification from the online information of IED switch, this paper firstly fliters and preprocesses the online condition information of IED switch, and uses data matrix to describe the online condition of IED switch. Based on this, the paper inroduces a special dissimilarity degree formula to transfer the data matrix into dissimilarity degree matrix, and conducts analysis with clustering pedigree chart out of systematic cluster algorithm. Finally, the paper verifies the feasibility of systematic cluster in the IED switch online condition monitoring.

scholarly journals Multivariable Analysis Methods On Identifying Factors and Groups of Students in the Environment of the Discovery Learning/Constructivistic Approach Using Cognitive Tools

2019 ◽  
pp. 7-12
Author(s):  
Konstantinos Korres
Keyword(s):  
Cluster Analysis ◽  
Data Analysis ◽  
Multivariable Analysis ◽  
Discovery Learning ◽  
Cognitive Tools ◽  
Analysis Methods ◽  
Multiple Variables ◽  
Students Attitudes ◽  
And Cluster Analysis ◽  
The University

This paper studies the environment of the discovery learning/constructivistic approach using cognitive tools regarding students’ performance in tests involving different kinds of learning and in the final formal examinations and students’ attitudes towards the approach in Mathematics’ higher education. In particular the paper aims in identifying factors regarding students’ scores and attitudes affected by the approach and groups of students with similar characteristics based on these factors. Data was obtained by a study realized at the Department of Statistics and Insurance Sciences of the University of Piraeus, concerning the application of the discovery learning/constructivistic approach using Mathematica on the course Calculus (Functions of multiple variables). Multivariable analysis methods are used in the data analysis, in particular factor analysis in identifying factors and cluster analysis in identifying groups of students with similar characteristics, in combination with inferential statistics’ methods. The statistical package SPSS was used for the data analysis.

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