Biomedical image processing has seen a significant improvement due to the availability of advanced technologies to capture high resolution images. This leads to demand for automated segmentation of ...
Abstract: In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix factorization (NMF), spectral ...
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Abstract: In the diagnosis and treatment of cancer, cancer classification is a vital issue. Gene selection is much needed to solve the high dimensionality issue in microarray data, small sample size, ...