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What is Clustering Analysis

Chapter 43
Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry
It is a class of techniques used to classify objects or cases into relative groups called clusters based on their distance from each other.
Published in Chapter:
Review of the Studies Related to COVID-19 and Tourism Using Text Mining Techniques
Burcu Kartal (Recep Tayyip Erdoğan University, Turkey) and Mehmet Fatih Sert (Recep Tayyip Erdoğan University, Turkey)
Copyright: © 2021 |Pages: 22
DOI: 10.4018/978-1-7998-8231-2.ch043
Abstract
This study aims to provide a roadmap for research dealing with the tourism sector. In this context, by conducting a study in the form of a literature review, researchers are informed about what has been done and what is missing. In the study, articles that have been accepted from scientific journals indexed in the SCOPUS database before January 18, 2021 and dealing with COVID-19 and tourism issues are examined. The study was carried out in two stages. In the first stage, descriptive statistics were given in terms of the region studied in the articles, the journal in which the articles were published, and the methods used in the articles from a general perspective. In the second stage, articles are divided into sections such as title, keywords, abstract, and conclusion. Each article section has been analyzed separately with text mining and clustering analysis, taking into account both single and double-word groups. As a result of analysis, it was determined that theoretical studies were carried out and quantitative methods were used in most of the studies.
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Chapter 3
Mapping the Collaborative Platform Economy Business Practice: A Typological Study
A method of grouping a set of objects so that objects in the same group (i.e., cluster) are more similar to each other than to those in other groups (clusters), making the difference between different groups more significant.
Published in Chapter: Mapping the Collaborative Platform Economy Business Practice: A Typological Study; From: Handbook of Research on the Platform Economy and the Evolution of E-Commerce
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Chapter 32
Mining User Activity Data In Higher Education Open Systems: Trends, Challenges, and Possibilities
Clustering analysis is another common kind of data mining investigation. Often performed as part of an initial exploration of data, the goal is to see what natural groupings if any exist, i.e., what items in the data are alike. In the context of Web usage, a clustering analysis might reveal that the site’s users fall into two distinct groupings: those who use the site’s menu and those who go directly to specific pages within the site.
Published in Chapter: Mining User Activity Data In Higher Education Open Systems: Trends, Challenges, and Possibilities; From: Handbook of Research on Technology Project Management, Planning, and Operations
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Chapter 15
A Triple-Bottom-Line Approach-Based Clustering Study for the Sustainable Development Goals of the European Countries: Sustainable Development Concept
Cluster analysis is one of the Pattern Recognition techniques that may be characterized by the use of resemblance or dissemblance measures between the objects to be identified. Clustering analysis is a computer-oriented data analysis technique that is a product of many research fields: statistics, computer science, operations research, and pattern recognition.
Published in Chapter: A Triple-Bottom-Line Approach-Based Clustering Study for the Sustainable Development Goals of the European Countries: Sustainable Development Concept; From: Handbook of Research on SDGs for Economic Development, Social Development, and Environmental Protection
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