Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification
نویسندگان
چکیده
منابع مشابه
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 based on neuronal morphology. A new feature selection method named binary matrix shuffling filter...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2015
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2015/626975