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This is the first release of the repository containing the MATLAB functions relative to the paper 'Business models of the Banks in the Euro Area', No. 2070, ECB Working Paper (https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2070.en.pdf?ee58f8028aa3d7b55dd977292218b268), by Matteo Farnè and Angelos Vouldis.

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A-clustering-methodology-for-European-banks-business-models

This repository contains the MATLAB functions relative to the paper 'Business models of the Banks in the Euro Area', No. 2070, ECB Working Paper (https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2070.en.pdf?ee58f8028aa3d7b55dd977292218b268) by Matteo Farnè and Angelos Vouldis.

In that paper, the trimmed version of the factorial k-means algorithm by Vichi and Kiers (https://s3.amazonaws.com/academia.edu.documents/46752397/Factorial_k-means_analysis_for_two-way_d20160624-9057-19q8f9o.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1514563179&Signature=K8ahFxipvNcKrT2RnoD8s5Ireqw%3D&response-content-disposition=inline%3B%20filename%3DFactorial_k-means_analysis_for_two-way_d.pdf) is proposed.

The function 'tfkm.m' performs a version of trimmed factorial k-means where the latent rank and the number of clusters are selected maximizing Hartigan's statistics, while the trimming proportion must be set by the user.

The function 'tfkm_alpha.m' performs a version of trimmed factorial k-means where the trimming proportion is also selected maximizing Hartigan's statistics.

Both MATLAB functions contain the detailed explanation of input and output arguments. The function 'tfkm_data.m' provides some examples about the use of both functions.

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This is the first release of the repository containing the MATLAB functions relative to the paper 'Business models of the Banks in the Euro Area', No. 2070, ECB Working Paper (https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2070.en.pdf?ee58f8028aa3d7b55dd977292218b268), by Matteo Farnè and Angelos Vouldis.

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