The DNA Microarray technology can measure the expression levels of thousands of genes simultaneously, and produces huge volumes of gene expression data. Such gene data include complex variations among expression levels of genes in the various classes of samples, which allows for classifying and clustering the samples based on only a small subset of genes. We aim to identify those genes that dem...

background: in this paper we compare a highly accurate supervised to an unsupervised technique that uses breast thermal images with the aim of assisting physicians in early detection of breast cancer. methods: first, we segmented the images and determined the region of interest. then, 23 features that included statistical, morphological, frequency domain, histogram and gray-level co-occurrence ...

Feature selection is a pre-processing technique used for eliminating the irrelevant and redundant features which results in enhancing the performance of the classifiers. When a dataset contains more irrelevant and redundant features, it fails to increase the accuracy and also reduces the performance of the classifiers. To avoid them, this paper presents a new hybrid feature selection method usi...