An efficient approach for feature extraction and classification of microarray cancer data

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DNA microarray consists of huge amount of features with small number of samples. In this paper, we address the dimension reduction of DNA features in which relevant features are extracted among thousands of irrelevant ones through dimensionality reduction. This enhances the speed and accuracy of the classifiers. Principal component analysis (PCA) is a very powerful statistical technique, is used to satisfy the aim, is to project the original I-dimensional space into an I