Review of clustering methods used in data-driven housing market segmentation
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Date
2023-09-08
Authors
ORCID
0000-0001-7169-8125Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Polish Real Estate Scientific Society
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Abstract
There was already a huge effort spent to prove the existence of housing market segments, how to utilize them to improve valuation accuracy, and gain knowledge about the inner structure of the whole superior housing market. Accordingly, many different methods on the topic were explored, but there is still no universal framework known. The aim of this article is to review some previous studies on data-driven housing market segmentation methods with a focus on clustering methods and their ability to capture market segments with respect to the shape of clusters, fuzziness, and hierarchical structure.
Description
Citation
Real Estate Management and Valuation. 2023, vol. 31, issue 3, p. 66-74.
https://www.remv-journal.com/Review-of-clustering-methods-used-in-data-driven-housing-market-segmentation,162812,0,2.html
https://www.remv-journal.com/Review-of-clustering-methods-used-in-data-driven-housing-market-segmentation,162812,0,2.html
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en