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Boyacioglu, M.A., Kara, Y. and Baykan, O.K. (2009) Predicting Bank Financial Failures Using Neural Networks, Support Vector Machines and Multivariate Statistical Methods: A Comparative Analysis in the Sample of Savings Deposit Insurance Fund (SDIF) Transferred Banks in Turkey. Expert Systems with Applications, 36, 3355-3366.

has been cited by the following article:

• TITLE: SOM Network Based Clustering Analysis of Real Estate Enterprises

  AUTHORS: Jinhong Zhu, Sheng Liu

  KEYWORDS: Real Estate Enterprises; Financial Situation; SOM Neural Network; Clustering Analysis

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.4 No.3, March 21, 2014

  ABSTRACT: For Real Estate industry which has many types of enterprises, how to carry on the effective clustering analysis has become a problem that needs to solve. This paper first theoretically elaborates the SOM network, and then pretreats the data with SOM network, which has the ability to deal with the high dimensional and complex data. Finally it uses the clustering function of SOM neural network to make clustering analysis and comparison of Real Estate companies which are listed in Shanghai and Shenzhen stock market. The clustering analysis results based on SOM are displayed in two-dimensional graphics, showing intuitively and comprehensively of the financial situation of each enterprise.