Use cmdscale to perform classical (metric) multidimensional scaling, also known as principal coordinates analysis.
Analyze if companies within the same sector experience similar week-to-week changes in stock price.
Use Procrustes analysis to compare two handwritten number threes. Visually and analytically explore the effects of forcing size and reflection changes.
Perform feature selection that is robust to outliers using a custom robust loss function in NCA.
Visualize the MNIST data, which consists of images of handwritten digits, using the tsne function. The images are 28-by-28 pixels in grayscale. Each image has an associated label from 0