Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
We introduce an algorithm for estimating the parameters in a finite mixture of completely unspecified multivariate components in at least three dimensions under the assumption of conditionally ...
Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 62, No. 4 (AUGUST 2013), pp. 573-592 (20 pages) Secondary ion mass spectrometry is a popular physical technique that ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback