Review of clustering methods used in data-driven housing market segmentation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26610%2F23%3APU148953" target="_blank" >RIV/00216305:26610/23:PU148953 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.remv-journal.com/Review-of-clustering-methods-used-in-data-driven-housing-market-segmentation,162812,0,2.html" target="_blank" >https://www.remv-journal.com/Review-of-clustering-methods-used-in-data-driven-housing-market-segmentation,162812,0,2.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/remav-2023-0022" target="_blank" >10.2478/remav-2023-0022</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of clustering methods used in data-driven housing market segmentation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Review of clustering methods used in data-driven housing market segmentation

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

<a href="/cs/project/EF19_073%2F0016948" target="_blank" >EF19_073/0016948: Kvalitní interní granty VUT</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Real Estate Management and Valuation

ISSN

1733-2478

e-ISSN

—

Svazek periodika

31

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

8

Strana od-do

66-74

Kód UT WoS článku

001063853800006

EID výsledku v databázi Scopus

2-s2.0-85171634908