Listar por tema "S-divergence"

Ordenar por:Orden:Resultados:

  • An enhanced spectral clustering algorithm with s-distance 
    Sharma, K.K.; Seal, Ayan; Herrera-Viedma, E.; Krejcar, Ondřej (MDPI-Molecular diversity preservation international, 2021)
    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 ...
  • S-Divergence-Based Internal Clustering Validation Index 
    Sharma, K.K.; Seal, Ayan; Yazidi, A.; Krejcar, Ondřej (Universidad Internacional de la Rioja, 2023)
    A clustering validation index (CVI) is employed to evaluate an algorithm’s clustering results. Generally, CVI statistics can be split into three classes, namely internal, external, and relative cluster validations. Most ...