ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap

The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot. Although widely used, the method is lacking an easy-to-use web interface that scientists with little program... View More