Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space

Cluster validity indices (CVIs) for evaluating the result of the optimal number of clusters are critical measures in clustering problems. Most CVIs are designed for typical data-type objects called certain data objects. Certain data objects only have a singular value and include no uncertainty, so t...

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Detalles Bibliográficos
Autores principales: Ko, Changwan, Baek, Jaeseung, Tavakkol, Behnam, Jeong, Young-Seon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099331/
https://www.ncbi.nlm.nih.gov/pubmed/37050769
http://dx.doi.org/10.3390/s23073708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099331/
https://www.ncbi.nlm.nih.gov/pubmed/37050769
http://dx.doi.org/10.3390/s23073708

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