Abstract: Feature selection/extraction methods aimed to reduce the Microarray data. Basically in this comparative analysis, we have taken into account different feature selection and extraction strategies used up till now in the field of Biomedical. In the field of pattern recognition and biomedical imaging, dimensionality reduction is the central area of the research. Some mostly used features selection/extraction methods aim to analyze the most efficient data and achieve the stable performance of the algorithms, as well as improve the accuracy and performance of the classifier. This analysis also highlights widely used dimensionality reduction techniques used up till now in the field of biomedical imaging for the purpose to explore their potency, and weak points.
Survey of Feature Selection / Extraction Methods used in Biomedical Imaging
1 Views
0 Downloads