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 ...

Brokers and vendors are seemingly offering clients more algorithmic products than Kellogg's has cornflakes. An exaggeration? Of course, but you get the idea. The buyside, however, might just feel that ...

Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software. As the throughput ...