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A Cluster Analysis of Bank Lending Behavior by Using Self-Organizing Map: The Case of Japan.
- Source :
- International Journal of Intelligent Technologies & Applied Statistics; 2016, Vol. 9 Issue 2, p145-151, 7p
- Publication Year :
- 2016
-
Abstract
- This paper provides a cluster analysis of the bank lending behavior in Japan from 1977 to 2002, in which the bubble economy occurred. The self-organizing map is used for the clustering. This clustering method is a type of artificial neural network and enables us to visualize the similarities among the high-dimensional data on bank lending. A result of clustering indicates that this time period is classified into two periods: before and after 1992. Moreover, we successfully extract the characteristics of bank lending behavior on 8 borrower sectors from another clustering result. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19985010
- Volume :
- 9
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- International Journal of Intelligent Technologies & Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 116614175
- Full Text :
- https://doi.org/10.6148/IJITAS.2016.0902.04