Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

A k-means-type algorithm is proposed for efficiently clustering data constrained to lie on the surface of a p-dimensional unit sphere, or data that are mean-zero-unit-variance standardized ...

Among the largest university presses in the world, The MIT Press publishes over 200 new books each year along with 30 journals in the arts and humanities, economics, international affairs, history, ...