<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>A huge effort has already been made to prove the existence of housing market segments, as well as how to utilize them to improve valuation accuracy and gain knowledge about the inner structure of the entire superior housing market. Accordingly, many different methods on the topic have been explored, but no universal framework is yet 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.</p>
</abstract>

A huge effort has already been made to prove the existence of housing market segments, as well as how to utilize them to improve valuation accuracy and gain knowledge about the inner structure of the entire superior housing market. Accordingly, many different methods on the topic have been explored, but no universal framework is yet 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.

Review of Clustering Methods Used in Data-Driven Housing Market Segmentation

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Review of Clustering Methods Used in Data-Driven Housing Market Segmentation"}

A huge effort has already been made to prove the existence of housing market segments, as well as how to utilize them to improve valuation accuracy and gain...

Review of Clustering Methods Used in Data-Driven Housing Market Segmentation

Online veröffentlicht: 07. Sept. 2023

Seitenbereich: 67 - 74

DOI: https://doi.org/10.2478/remav-2023-0022

Schlüsselwörter
clustering algorithms, housing market analysis, housing market segmentation, data-driven segmentation

© 2023 Štěpán Skovajsa, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Review of Clustering Methods Used in Data-Driven Housing Market Segmentation

Online veröffentlicht: 07. Sept. 2023

Seitenbereich: 67 - 74

DOI: https://doi.org/10.2478/remav-2023-0022

Schlüsselwörterclustering algorithms, housing market analysis, housing market segmentation, data-driven segmentation

© 2023 Štěpán Skovajsa, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
clustering algorithms, housing market analysis, housing market segmentation, data-driven segmentation