variational Bayesian algorithm for Brain MR image Segmentation
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Updated
May 2, 2017 - C
variational Bayesian algorithm for Brain MR image Segmentation
Extremely fast C implementation of the clustering Expectation Maximization (EM) algorithm for estimating Gaussian Mixture Models (GMM).
A flexible haplotype inference program, determining blocks of haplotype inferability.
The most common algorithm uses an iterative refinement technique. Due to its ubiquity it is often called the k-means algorithm; it is also referred to as Lloyd's algorithm, particularly in the computer science community.
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