Prohlížení dle předmětu "S-divergence"

Seřadit dle:Řazení:Výsledky:

  • 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 ...

Prohledat DSpace

Procházet

Můj účet