This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

In classification, our goal is to assign each observation in the test dataset to one of a number of pre-specified categories. We do so using information from the observed predictor variables (or ...

A cell’s morphology comprises vast amounts of information on cell health and differentiation state and yields insight into cell phenotype. Biologists utilize this information on a daily basis to aid ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

This project uses a Convolutional Neural Network (CNN) implemented in PyTorch to classify brain MRI images. The model architecture consists of multiple convolutional, batch normalization, max-pooling ...