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Cluster analysis for Seoul apartment price using symbolic data
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 Title & Authors
Cluster analysis for Seoul apartment price using symbolic data
Kim, Jaejik;
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 Abstract
In this study, 64 administrative regions with high frequencies of apartment trade in Seoul, Korea are classified by the apartment sale price. To consider distributions of apartment price for each region as well as the mean of the price, the symbolic histogram-valued data approach is employed. Symbolic data include all types of data which have internal variation in themselves such as intervals, lists, histograms, distributions, and models, etc. As a result of the cluster analysis using symbolic histogram data, it is found that Gangnam, Seocho, and Songpa districts and regions near by those districts have relatively higher prices and larger dispersions. This result makes sense because those regions have good accessibility to downtown and educational environment.
 Keywords
Apartment price;cluster analysis;symbolic histogram-valued data;
 Language
Korean
 Cited by
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