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clustering, and topic modeling, are employed for the investigation. The pre-processing step of text cleaning is first performed …) on 98 failed banks from 2008 to 2015. The text mining techniques via machine learning, i.e. bag of words, document … insights extracted from semi-structured textual data, i.e. the FDIC's reports. Our text analytics suggests that to prevent from …
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observations (classification). NNS clustering is very similar to k-means clustering, and we direct the reader to Vinod and Viole … classification problems using NNS clustering analysis.We demonstrate how NNS clustering is quite effective, as well as an alternative …NNS stands for Nonlinear Nonparametric Statistics, henceforth "NNS". What is NNS clustering analysis? NNS clustering is …
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