Elastic K-means using posterior probability

The widely used K-means clustering is a hard clustering algorithm. Here we propose a Elastic K-means clustering model (EKM) using posterior probability with soft capability where each data point can belong to multiple clusters fractionally and show the benefit of proposed Elastic K-means. Furthermor...

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Detalles Bibliográficos
Autores principales: Zheng, Aihua, Jiang, Bo, Li, Yan, Zhang, Xuehan, Ding, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730165/
https://www.ncbi.nlm.nih.gov/pubmed/29240756
http://dx.doi.org/10.1371/journal.pone.0188252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730165/
https://www.ncbi.nlm.nih.gov/pubmed/29240756
http://dx.doi.org/10.1371/journal.pone.0188252

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