TY  - JOUR 
AU  - Kumar Sharma, Krishna
AU  - Seal, Ayan
AU  - Herrera Viedma, Enrique
AU  - Krejcar, Ondrej
PY  - 2021
UR  - http://hdl.handle.net/10481/68697
AB  - Calculating and monitoring customer churn metrics is important for companies to retain customers and earn more profit in business. In this study, a churn prediction framework is developed by modified spectral clustering (SC). However, the similarity...
LA  - eng
PB  - MDPI
KW  - S-divergence
KW  - S-distance
KW  - Spectral clustering
TI  - An Enhanced Spectral Clustering Algorithm with S-Distance
DO  - 10.3390/sym13040596
ER  -