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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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| Publicado no: | Comput Math Methods Med |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4393911/ https://ncbi.nlm.nih.gov/pubmed/25893005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/626975 |
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