Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification

A prerequisite to understand neuronal function and characteristic is to classify neuron correctly. The existing classification techniques are usually based on structural characteristic and employ principal component analysis to reduce feature dimension. In this work, we dedicate to classify neurons...

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Detalles Bibliográficos
Autores principales: Sun, Congwei, Dai, Zhijun, Zhang, Hongyan, Li, Lanzhi, Yuan, Zheming
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/PMC4393911/
https://www.ncbi.nlm.nih.gov/pubmed/25893005
http://dx.doi.org/10.1155/2015/626975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393911/
https://www.ncbi.nlm.nih.gov/pubmed/25893005
http://dx.doi.org/10.1155/2015/626975

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