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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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| Pubblicato in: | Comput Math Methods Med |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2015
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| Soggetti: | |
| Accesso online: | 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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