Graph Based Multi-Layer K-Means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces

In this paper, we focus on developing a novel unsupervised machine learning algorithm, named graph based multi-layer k-means++ (G-MLKM), to solve the data-target association problem when targets move on a constrained space and minimal information of the targets can be obtained by sensors. Instead of...

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Detalles Bibliográficos
Autores principales: Tao, Feng, Suresh, Rengan, Votion, Johnathan, Cao, Yongcan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002009/
https://www.ncbi.nlm.nih.gov/pubmed/33809434
http://dx.doi.org/10.3390/s21062069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002009/
https://www.ncbi.nlm.nih.gov/pubmed/33809434
http://dx.doi.org/10.3390/s21062069

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