An Unsupervised Learning Approach Towards Credit Risk Modelling Using DFT Features and Gaussian Mixture Models
Crossref DOI link: https://doi.org/10.1007/978-981-19-0825-5_1
Published Online: 2022-05-17
Published Print: 2022
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pandit, Amit Kant
Vashishtha, Ashutosh
Sumbria, Shubam
Mahajan, Shubham
Text and Data Mining valid from 2022-01-01
Version of Record valid from 2022-01-01
Chapter History
First Online: 17 May 2022