Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

All components share the same spherical covariance matrix. For estimating the similarity between two Gaussian mixtures, the L2 L 2 L2 distance was chosen by the authors because there exists a ...

As acronyms go, GMM-DCKE – Gaussian mixture model dynamically controlled kernel estimation – is a bit of a mouthful. Its proponents, though, consider it to be the simplest expression of conditional ...

The point set registration problem can be described as: for two finite size point sets ${M, S}$, where $M$ represents the moving “model” set and $S$ represents ...