Localized Ambient Solidity Separation Algorithm Based Computer User Segmentation

Most of popular clustering methods typically have some strong assumptions of the dataset. For example, the k-means implicitly assumes that all clusters come from spherical Gaussian distributions which have different means but the same covariance. However, when dealing with datasets that have diverse...

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Detalles Bibliográficos
Autores principales: Sun, Xiao, Zhang, Tongda, Chai, Yueting, Liu, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499454/
https://www.ncbi.nlm.nih.gov/pubmed/26221133
http://dx.doi.org/10.1155/2015/829201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499454/
https://www.ncbi.nlm.nih.gov/pubmed/26221133
http://dx.doi.org/10.1155/2015/829201

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