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5 projects in result set.
0. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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Registered: 2011-05-09 12:56 |
1. bclust - Bayesian clustering with variable selection is a fully automatic clustering method, designed for low-sample-size-high-dimensional situations. This might be regarded as a high-dimensional variant of the mclust package.
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Registered: 2009-02-18 10:01 |
2. Local Depth - The package "localdepth" contains functions for the evaluation of some Depth functions and their corresponding local versions, namely Local Depths. Simplicial, Ellipsoid and Mahalanobis Depths are implemented for general dimension.
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-09-16 15:34 |
3. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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Registered: 2010-04-01 17:54 |
4. ziLRhClust: hclust for zeroinflated data - Algorithm to process hierarchical clustering, based on log-likelihood ratio, considering standard Gaussian or zero-Inflated Gaussian data. The agglomeration method is also the log-likelihood-based dissimilarity between clusters.
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Registered: 2016-04-27 09:04 |
