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Topic :: Cluster Analysis :: Hierarchical Clustering [Remove This Filter]
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9 projects in result set.
0. Mixed-data clustering and visualization - The aim of the project is the development of utilities for clustering subjects and variables of mixed data types. The main purpose is the generation of a mixed-data heatmap. | |
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Activity Percentile: 0.00 Registered: 2016-02-25 15:54 |
1. STOPS - Methods that fit nonlinear distance transformations in multidimensional scaling and trade-off the fit with structure considerations to find optimal parameters. | |
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Activity Percentile: 0.00 Registered: 2015-02-12 00:09 |
2. DHclus - Divisive hierarchical clustering algorithm with automatic determination of components | |
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Activity Percentile: 0.00 Registered: 2012-08-31 12:26 |
3. 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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Activity Percentile: 0.00 Registered: 2008-09-16 15:34 |
4. 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 |
5. Isopam - The 'isopam' package was originally developed for the classification of plant and animal assemblages. It includes the isopam cluster algorithm and related functions. | |
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Activity Percentile: 0.00 Registered: 2010-11-30 10:37 |
6. mrp - MOVED TO GITHUB: https://github.com/malecki/mrp | |
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Registered: 2009-09-21 14:11 |
7. 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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Activity Percentile: 0.00 Registered: 2010-04-01 17:54 |
8. 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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Activity Percentile: 0.00 Registered: 2009-02-18 10:01 |